Project Part 2

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This notebook contains the code samples found in Chapter 3, Section 5 of Deep Learning with R. Note that the original text features far more content, in particular further explanations and figures: in this notebook, you will only find source code and related comments.

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Data Exploration & Preparation

• Our goal in the second part of the assignment is to predict how good a (new) customer will pay back their credit card depts. In the data set application data from current customers (the first 18 attributes) together with their status (last attribute; target) are given.
  
• The attributes from the applications are

Attribute Name	Explanation	Remarks
ID	Client	number
CODE_GENDER	Gender
FLAG_OWN_CAR	Is there a car
FLAG_OWN_REALTY	Is there a property
CNT_CHILDREN	Number of children
AMT_INCOME_TOTAL	Annual income
NAME_INCOME_TYPE	Income category
NAME_EDUCATION_TYPE	Education level
NAME_FAMILY_STATUS	Marital status
NAME_HOUSING_TYPE	Way of living
DAYS_BIRTH	Birthday	Count backwards from current day (0), -1 means yesterday
DAYS_EMPLOYED	Start date of employment	Count backwards from current day(0). If positive, it means the person unemployed.
FLAG_MOBIL	Is there a mobile phone
FLAG_WORK_PHONE	Is there a work phone
FLAG_PHONE	Is there a phone
FLAG_EMAIL	Is there an email
OCCUPATION_TYPE	Occupation
CNT_FAM_MEMBERS	Family size

• The last attribute status contains the “pay-back behavior”, i.e. when did that customer pay back their depts:
  • 0: 1-29 days past due
  • 1: 30-59 days past due
  • 2: 60-89 days overdue
  • 3: 90-119 days overdue
  • 4: 120-149 days overdue
  • 5: Overdue or bad debts, write-offs for more than 150 days
  • C: paid off that month
  • X: No loan for the month Please note: We are learning only the pay-back behavior. The decision, i.e. if we accept a customer or not, is done in another process step – not here!

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Main task

• Design your network. Why did you use a feed-forward network, or a convolutional or recursive network – and why not?
  
• Use k-fold validation (with k = 10) to find the best hyperparameters for your network.
• Use the average of the accuracy to evaluate the performance of your trained network.
• Find a “reasonable” good model. Argue why that model is reasonable. If you are not able to find a reasonable good model, explain what you all did to find a good model and argue why you think that’s not a good model.
  
• Save your trained neural network with save_model_hdf5. Also save your data sets you used for training, testing and validation.

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Some hints

• Data preprocessing is easier here; no feature engineering is needed.
• You may be able to reuse parts of the exercises we used in our examples during lectures.
• All in- and output values need to be floating numbers (or integers in exceptions) in the range of [0,1].
• Please note that a neural network expects a R matrix or vector, not data frames. Transform your data (e.g. a data frame) into a matrix with data.matrix if needed.
  
• There are some models which show an accuracy higher than 90% (!) for training (and test) data – after learning more than 1000 epochs.

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Important notes

• Single-label, Multiclass classification problem on page 73 in Deep Learning with R
• Spaces must be removed in between ‘{r}' and '’, else an error with ‘’ will be produced
• K-Fold Validation on page 83ff and 94ff in Deep Learning with R
• Page 110, use Last-Layer activation softmax and loss function categorical_crossentropy
• Convolutional network ausgeschlossen, weil hauptsächlich Pattern recognition/image classification
• Recursive ausgeschlossen, weil hauptsächlich für TimeSeries-Vorhersagen verwendet, oder für Vorhersagen
• Feed-Forward, weil Classification-Task

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Data import

#install.packages("tidymodels")
#install.packages("themis")
library(here)
library(tidyverse)
library(ggplot2)
library(dplyr)
library(tensorflow)
library(tfdatasets)
library(tidymodels)
library(keras)
library(caret)
library(themis)
#LOAD DATA
setwd(getwd())
dataIn = "../Data/Dataset-part-2.csv"
data_in <- read.csv(dataIn,header = TRUE, sep =',')
#View(data_in)
data <- data.frame(data_in)
summary(data)

       ID          CODE_GENDER        FLAG_OWN_CAR       FLAG_OWN_REALTY     CNT_CHILDREN     AMT_INCOME_TOTAL 
 Min.   :5008804   Length:67614       Length:67614       Length:67614       Min.   : 0.0000   Min.   :  26100  
 1st Qu.:5465941   Class :character   Class :character   Class :character   1st Qu.: 0.0000   1st Qu.: 112500  
 Median :5954270   Mode  :character   Mode  :character   Mode  :character   Median : 0.0000   Median : 157500  
 Mean   :5908133                                                            Mean   : 0.4206   Mean   : 178867  
 3rd Qu.:6289080                                                            3rd Qu.: 1.0000   3rd Qu.: 225000  
 Max.   :7965248                                                            Max.   :19.0000   Max.   :6750000  
 NAME_INCOME_TYPE   NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE    DAYS_BIRTH     DAYS_EMPLOYED   
 Length:67614       Length:67614        Length:67614       Length:67614       Min.   :-25201   Min.   :-17531  
 Class :character   Class :character    Class :character   Class :character   1st Qu.:-19438   1st Qu.: -2886  
 Mode  :character   Mode  :character    Mode  :character   Mode  :character   Median :-15592   Median : -1305  
                                                                              Mean   :-15914   Mean   : 62022  
                                                                              3rd Qu.:-12347   3rd Qu.:  -321  
                                                                              Max.   : -7489   Max.   :365243  
   FLAG_MOBIL FLAG_WORK_PHONE    FLAG_PHONE       FLAG_EMAIL     OCCUPATION_TYPE    CNT_FAM_MEMBERS 
 Min.   :1    Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Length:67614       Min.   : 1.000  
 1st Qu.:1    1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   Class :character   1st Qu.: 2.000  
 Median :1    Median :0.0000   Median :0.0000   Median :0.0000   Mode  :character   Median : 2.000  
 Mean   :1    Mean   :0.2028   Mean   :0.2742   Mean   :0.1005                      Mean   : 2.174  
 3rd Qu.:1    3rd Qu.:0.0000   3rd Qu.:1.0000   3rd Qu.:0.0000                      3rd Qu.: 3.000  
 Max.   :1    Max.   :1.0000   Max.   :1.0000   Max.   :1.0000                      Max.   :20.000  
    status         
 Length:67614      
 Class :character  
 Mode  :character  
                   
                   
                   

plot(data$status)

##Cleanup

# Check for duplicates 
sum(duplicated(data))

[1] 0

# No duplicates

#Remove ID (irrelevant) and FLAG_MOBIL (always 1)
data <- data %>% select(-ID, -FLAG_MOBIL)
cols <- c("CODE_GENDER","FLAG_OWN_CAR","FLAG_OWN_REALTY","NAME_INCOME_TYPE","NAME_EDUCATION_TYPE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE","FLAG_WORK_PHONE","FLAG_PHONE","FLAG_EMAIL", "OCCUPATION_TYPE","status")
cols

 [1] "CODE_GENDER"         "FLAG_OWN_CAR"        "FLAG_OWN_REALTY"     "NAME_INCOME_TYPE"   
 [5] "NAME_EDUCATION_TYPE" "NAME_FAMILY_STATUS"  "NAME_HOUSING_TYPE"   "FLAG_WORK_PHONE"    
 [9] "FLAG_PHONE"          "FLAG_EMAIL"          "OCCUPATION_TYPE"     "status"             

data[cols] <- lapply(data[cols],factor)

# Replacing empty values with "Unknown"
levels(data$OCCUPATION_TYPE) <- c(levels(data$OCCUPATION_TYPE), "Unknown")
data$OCCUPATION_TYPE[is.na(data$OCCUPATION_TYPE)] <- "Unknown"

# Replacing C and X in Status
levels(data$status)[levels(data$status)=="C"] <- "6"
#data$status[data$status == "X"] <- 7
levels(data$status)[levels(data$status)=="X"] <- "7"
# #Convert factors into numericals
# data %<>% mutate_if(is.factor, as.numeric)

summary(data)

 CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY  CNT_CHILDREN     AMT_INCOME_TOTAL              NAME_INCOME_TYPE
 F:43924     N:43107      N:21090         Min.   : 0.0000   Min.   :  26100   Commercial associate:15640  
 M:23690     Y:24507      Y:46524         1st Qu.: 0.0000   1st Qu.: 112500   Pensioner           :11982  
                                          Median : 0.0000   Median : 157500   State servant       : 5044  
                                          Mean   : 0.4206   Mean   : 178867   Student             :    4  
                                          3rd Qu.: 1.0000   3rd Qu.: 225000   Working             :34944  
                                          Max.   :19.0000   Max.   :6750000                               
                                                                                                          
                    NAME_EDUCATION_TYPE            NAME_FAMILY_STATUS           NAME_HOUSING_TYPE
 Academic degree              :   38    Civil marriage      : 6016    Co-op apartment    :  227  
 Higher education             :16890    Married             :44906    House / apartment  :60307  
 Incomplete higher            : 2306    Separated           : 4125    Municipal apartment: 2303  
 Lower secondary              :  716    Single / not married: 9528    Office apartment   :  587  
 Secondary / secondary special:47664    Widow               : 3039    Rented apartment   : 1020  
                                                                      With parents       : 3170  
                                                                                                 
   DAYS_BIRTH     DAYS_EMPLOYED    FLAG_WORK_PHONE FLAG_PHONE FLAG_EMAIL    OCCUPATION_TYPE  CNT_FAM_MEMBERS 
 Min.   :-25201   Min.   :-17531   0:53904         0:49071    0:60819    Unknown    :20699   Min.   : 1.000  
 1st Qu.:-19438   1st Qu.: -2886   1:13710         1:18543    1: 6795    Laborers   :12425   1st Qu.: 2.000  
 Median :-15592   Median : -1305                                         Sales staff: 6899   Median : 2.000  
 Mean   :-15914   Mean   : 62022                                         Core staff : 6059   Mean   : 2.174  
 3rd Qu.:-12347   3rd Qu.:  -321                                         Managers   : 4950   3rd Qu.: 3.000  
 Max.   : -7489   Max.   :365243                                         Drivers    : 4427   Max.   :20.000  
                                                                         (Other)    :12155                   
     status     
 0      :52133  
 1      : 6491  
 7      : 5790  
 6      : 1805  
 2      :  712  
 5      :  374  
 (Other):  309  

Preprocessing

set.seed(1)
trainIndex <- initial_split(data, prop = 0.8, strata = status) 
trainingSet <- training(trainIndex)
testSet <- testing(trainIndex)
status_folds <- vfold_cv(trainingSet, v = 10, strata = status)
status_folds

#  10-fold cross-validation using stratification 

# Remove outliers (Out of 1.5x Interquartile Range) only on training set
# CNT_CHILDREN
boxplot(trainingSet$CNT_CHILDREN, horizontal=TRUE, main="CNT_CHILDREN")

Q1_Child <- quantile(trainingSet$CNT_CHILDREN, .25)
Q3_Child <- quantile(trainingSet$CNT_CHILDREN, .75)
IQR_Child <- IQR(trainingSet$CNT_CHILDREN)
# Now we keep the values within 1.5*IQR of Q1 and Q3
trainingSet <- subset(trainingSet, trainingSet$CNT_CHILDREN > (Q1_Child - 1.5*IQR_Child) & trainingSet$CNT_CHILDREN < (Q3_Child + 1.5*IQR_Child))
dim(trainingSet)

[1] 53330    17

# AMT_INCOME_TOTAL
boxplot(trainingSet$AMT_INCOME_TOTAL, horizontal=TRUE, main="AMT_INCOME_TOTAL")

Q1_AIT <- quantile(trainingSet$AMT_INCOME_TOTAL, .25)
Q3_AIT <- quantile(trainingSet$AMT_INCOME_TOTAL, .75)
IQR_AIT <- IQR(trainingSet$AMT_INCOME_TOTAL)
# Now we keep the values within 1.5*IQR of Q1 and Q3
trainingSet <- subset(trainingSet, trainingSet$AMT_INCOME_TOTAL > (Q1_AIT - 1.5*IQR_AIT) & trainingSet$AMT_INCOME_TOTAL < (Q3_AIT + 1.5*IQR_AIT))
dim(trainingSet)

[1] 51748    17

set.seed(5)
preprocRecipe <-
  recipe(status ~., data = data) %>%
  step_dummy(all_nominal(), -status,  one_hot = TRUE) %>%
  step_range(all_predictors(), -all_nominal(), min = 0, max = 1)%>%
 # step_downsample(status, over_ratio = 1) %>%
  step_smote(status, over_ratio = 1, skip=TRUE) %>%
 # step_smotenc(status, over_ratio = 1) %>%
 #step_adasyn(status, over_ratio = 1) %>%
 #step_nearmiss(status, over_ratio = 1) %>%
   
  step_dummy(status,  one_hot = TRUE)# %>%

In this step the above defined receipt is extracted using the prep() function, and then use the bake() function to transform a set of data based on that recipe.

# retain = TRUE and new_data = NULL ensures that pre-processed trainingSet is returned 
trainingSet_processed <- preprocRecipe %>%
  prep(trainingSet, retain = TRUE) %>%
  bake(new_data = NULL)
testSet_processed <- preprocRecipe %>%
  prep(testSet) %>%
  bake(new_data =testSet)

#summary(trainingSet_processed)

Check data

# summarize the class distribution
percentage <- 100-prop.table(table(data$status)) * 100
cbind(freq=table(data$status), percentage=percentage)

   freq percentage
0 52133   22.89615
1  6491   90.39992
2   712   98.94696
3   195   99.71160
4   114   99.83140
5   374   99.44686
6  1805   97.33043
7  5790   91.43668

class_weights <- list("0"=1,"1"=100)

# Turn data frame into data matrix
matrix_data <- trainingSet_processed %>% select(-tail(names(trainingSet_processed), 8))
matrix_targets <- trainingSet_processed %>% select(tail(names(trainingSet_processed), 8))

matrix_data_test  <- testSet_processed %>% select(-tail(names(testSet_processed), 8))
matrix_targets_test  <- testSet_processed %>% select(tail(names(testSet_processed), 8))

#Subset only 100 entries for testing
#matrix_data <- matrix_data[1:100, ]
#matrix_targets <- matrix_targets[1:100, ]

Build Model

#train_data <- matrix_data
train_data <- data.matrix(matrix_data)
test_data <- data.matrix(matrix_data_test)
train_targets <- data.matrix(matrix_targets)
test_targets <- data.matrix(matrix_targets_test)

# Function to build the model
build_model <- function() {
  model <- keras_model_sequential() %>%
    #layer_batch_normalization(axis = -1L, input_shape = dim(train_data)[[2]]) %>%
    layer_dense(units = 64, activation = "relu", input_shape = dim(train_data)[[2]]) %>%
    layer_dense(units = 64, activation = "relu") %>%
    #layer_dropout(0.3) %>%
    layer_dense(units = 128, activation = "relu") %>%
    layer_dense(units = 128, activation = "relu") %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 8, activation = "softmax") 

  model %>% compile(
    optimizer = optimizer_sgd(learning_rate = 0.2),
    loss = "categorical_crossentropy",
    metrics = "categorical_accuracy"
  )

}

K-Fold-Validation

k <- 10
indices <- sample(1:nrow(train_data))
folds <- cut(indices, breaks = k, labels = FALSE)

num_epochs <- 1500
all_acc_histories <- NULL
for (i in 1:k) {
  cat("processing fold #", i, "\n")

  val_indices <- which(folds == i, arr.ind = TRUE)
  val_data <- train_data[val_indices,] #test_data#
  val_targets <- train_targets[val_indices,] #test_targets#
  
  partial_train_data <- train_data[-val_indices,]
  partial_train_targets <- train_targets[-val_indices,]
  model <- build_model()

  # Train the model (in silent mode, verbose=0)
  # Batch size https://stats.stackexchange.com/questions/153531/what-is-batch-size-in-neural-network
  # One epoch = one forward pass and one backward pass of all the training examples
  # Batch size = the number of training examples in one forward/backward pass. The higher the batch size, the more memory space you'll need.
  # Number of iterations = number of passes, each pass using [batch size] number of examples. To be clear, one pass = one forward pass + one backward pass (we do not count the forward pass and backward pass as two different passes).
  # Batch size 32 much faster than 1, also the smaller the batch the less accurate the estimate of the gradient will be.
  history <- model %>% fit(
    partial_train_data, partial_train_targets,
    validation_data = list(val_data, val_targets),
    epochs = num_epochs, batch_size = 2048, verbose = 2#, class_weights = percentage
  )
  acc_history <- history$metrics$val_categorical_accuracy
  all_acc_histories <- rbind(all_acc_histories, acc_history)
}

processing fold # 1 

2022-12-31 05:59:27.658828: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-12-31 05:59:27.983070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 5501 MB memory:  -> device: 0, name: NVIDIA GeForce RTX 3060 Ti, pci bus id: 0000:2d:00.0, compute capability: 8.6

Epoch 1/1500

2022-12-31 05:59:29.292745: I tensorflow/stream_executor/cuda/cuda_blas.cc:1786] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.

141/141 - 2s - loss: 1.9862 - categorical_accuracy: 0.2697 - val_loss: 1.9066 - val_categorical_accuracy: 0.2866 - 2s/epoch - 16ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.6077 - categorical_accuracy: 0.3988 - val_loss: 1.3276 - val_categorical_accuracy: 0.5116 - 681ms/epoch - 5ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3157 - categorical_accuracy: 0.5088 - val_loss: 1.4847 - val_categorical_accuracy: 0.4298 - 638ms/epoch - 5ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1648 - categorical_accuracy: 0.5626 - val_loss: 1.5975 - val_categorical_accuracy: 0.4554 - 655ms/epoch - 5ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.0482 - categorical_accuracy: 0.6065 - val_loss: 0.9349 - val_categorical_accuracy: 0.6441 - 654ms/epoch - 5ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9741 - categorical_accuracy: 0.6386 - val_loss: 0.8419 - val_categorical_accuracy: 0.6756 - 655ms/epoch - 5ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8568 - categorical_accuracy: 0.6805 - val_loss: 0.7615 - val_categorical_accuracy: 0.7086 - 655ms/epoch - 5ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.8283 - categorical_accuracy: 0.6948 - val_loss: 1.1264 - val_categorical_accuracy: 0.6152 - 639ms/epoch - 5ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7414 - categorical_accuracy: 0.7255 - val_loss: 0.6910 - val_categorical_accuracy: 0.7434 - 666ms/epoch - 5ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.7067 - categorical_accuracy: 0.7400 - val_loss: 0.6870 - val_categorical_accuracy: 0.7340 - 669ms/epoch - 5ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.7040 - categorical_accuracy: 0.7469 - val_loss: 1.7978 - val_categorical_accuracy: 0.3398 - 661ms/epoch - 5ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6517 - categorical_accuracy: 0.7620 - val_loss: 0.5572 - val_categorical_accuracy: 0.7878 - 668ms/epoch - 5ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.5859 - categorical_accuracy: 0.7822 - val_loss: 1.8552 - val_categorical_accuracy: 0.5249 - 663ms/epoch - 5ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.6971 - categorical_accuracy: 0.7590 - val_loss: 0.5162 - val_categorical_accuracy: 0.8097 - 636ms/epoch - 5ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5216 - categorical_accuracy: 0.8059 - val_loss: 0.5240 - val_categorical_accuracy: 0.8007 - 655ms/epoch - 5ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5328 - categorical_accuracy: 0.8063 - val_loss: 0.4722 - val_categorical_accuracy: 0.8212 - 702ms/epoch - 5ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.4863 - categorical_accuracy: 0.8205 - val_loss: 0.5254 - val_categorical_accuracy: 0.8072 - 638ms/epoch - 5ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4604 - categorical_accuracy: 0.8311 - val_loss: 0.4296 - val_categorical_accuracy: 0.8430 - 654ms/epoch - 5ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4599 - categorical_accuracy: 0.8319 - val_loss: 0.4313 - val_categorical_accuracy: 0.8453 - 667ms/epoch - 5ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4355 - categorical_accuracy: 0.8409 - val_loss: 0.4124 - val_categorical_accuracy: 0.8500 - 638ms/epoch - 5ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4059 - categorical_accuracy: 0.8502 - val_loss: 0.4337 - val_categorical_accuracy: 0.8374 - 703ms/epoch - 5ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.5666 - categorical_accuracy: 0.8088 - val_loss: 0.4308 - val_categorical_accuracy: 0.8382 - 655ms/epoch - 5ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4780 - categorical_accuracy: 0.8376 - val_loss: 0.4095 - val_categorical_accuracy: 0.8493 - 635ms/epoch - 5ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3782 - categorical_accuracy: 0.8623 - val_loss: 0.3834 - val_categorical_accuracy: 0.8596 - 685ms/epoch - 5ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3697 - categorical_accuracy: 0.8672 - val_loss: 0.4178 - val_categorical_accuracy: 0.8455 - 655ms/epoch - 5ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3514 - categorical_accuracy: 0.8716 - val_loss: 0.3925 - val_categorical_accuracy: 0.8560 - 652ms/epoch - 5ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.4060 - categorical_accuracy: 0.8609 - val_loss: 0.3576 - val_categorical_accuracy: 0.8701 - 652ms/epoch - 5ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3367 - categorical_accuracy: 0.8787 - val_loss: 0.3255 - val_categorical_accuracy: 0.8869 - 637ms/epoch - 5ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.4007 - categorical_accuracy: 0.8692 - val_loss: 2.3133 - val_categorical_accuracy: 0.3368 - 639ms/epoch - 5ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.4752 - categorical_accuracy: 0.8330 - val_loss: 0.3239 - val_categorical_accuracy: 0.8843 - 651ms/epoch - 5ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.3086 - categorical_accuracy: 0.8894 - val_loss: 0.3592 - val_categorical_accuracy: 0.8711 - 652ms/epoch - 5ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.2965 - categorical_accuracy: 0.8933 - val_loss: 0.3253 - val_categorical_accuracy: 0.8837 - 655ms/epoch - 5ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3099 - categorical_accuracy: 0.8902 - val_loss: 0.3128 - val_categorical_accuracy: 0.8886 - 686ms/epoch - 5ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.2804 - categorical_accuracy: 0.8996 - val_loss: 0.3529 - val_categorical_accuracy: 0.8686 - 654ms/epoch - 5ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.3428 - categorical_accuracy: 0.8857 - val_loss: 0.2924 - val_categorical_accuracy: 0.8963 - 640ms/epoch - 5ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2704 - categorical_accuracy: 0.9039 - val_loss: 0.2647 - val_categorical_accuracy: 0.9053 - 670ms/epoch - 5ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2834 - categorical_accuracy: 0.8998 - val_loss: 0.2857 - val_categorical_accuracy: 0.8974 - 640ms/epoch - 5ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2658 - categorical_accuracy: 0.9059 - val_loss: 0.2629 - val_categorical_accuracy: 0.9072 - 681ms/epoch - 5ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2542 - categorical_accuracy: 0.9097 - val_loss: 0.2731 - val_categorical_accuracy: 0.9008 - 652ms/epoch - 5ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2533 - categorical_accuracy: 0.9095 - val_loss: 0.3453 - val_categorical_accuracy: 0.8746 - 636ms/epoch - 5ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.3241 - categorical_accuracy: 0.8950 - val_loss: 0.3500 - val_categorical_accuracy: 0.8756 - 670ms/epoch - 5ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2833 - categorical_accuracy: 0.9040 - val_loss: 0.2548 - val_categorical_accuracy: 0.9090 - 666ms/epoch - 5ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2343 - categorical_accuracy: 0.9171 - val_loss: 0.3732 - val_categorical_accuracy: 0.8693 - 668ms/epoch - 5ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2336 - categorical_accuracy: 0.9174 - val_loss: 0.2284 - val_categorical_accuracy: 0.9176 - 653ms/epoch - 5ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2539 - categorical_accuracy: 0.9130 - val_loss: 1.0272 - val_categorical_accuracy: 0.7061 - 653ms/epoch - 5ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2325 - categorical_accuracy: 0.9191 - val_loss: 0.2586 - val_categorical_accuracy: 0.9049 - 639ms/epoch - 5ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2155 - categorical_accuracy: 0.9241 - val_loss: 0.2349 - val_categorical_accuracy: 0.9174 - 671ms/epoch - 5ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2441 - categorical_accuracy: 0.9179 - val_loss: 0.2462 - val_categorical_accuracy: 0.9130 - 685ms/epoch - 5ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2176 - categorical_accuracy: 0.9238 - val_loss: 0.3566 - val_categorical_accuracy: 0.8769 - 634ms/epoch - 4ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2183 - categorical_accuracy: 0.9236 - val_loss: 0.2852 - val_categorical_accuracy: 0.8917 - 654ms/epoch - 5ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2090 - categorical_accuracy: 0.9262 - val_loss: 0.2387 - val_categorical_accuracy: 0.9170 - 670ms/epoch - 5ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2343 - categorical_accuracy: 0.9208 - val_loss: 0.2223 - val_categorical_accuracy: 0.9214 - 638ms/epoch - 5ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.1977 - categorical_accuracy: 0.9310 - val_loss: 0.2918 - val_categorical_accuracy: 0.8961 - 687ms/epoch - 5ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2105 - categorical_accuracy: 0.9273 - val_loss: 0.2249 - val_categorical_accuracy: 0.9196 - 815ms/epoch - 6ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2171 - categorical_accuracy: 0.9249 - val_loss: 0.2449 - val_categorical_accuracy: 0.9144 - 638ms/epoch - 5ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.1869 - categorical_accuracy: 0.9345 - val_loss: 0.2138 - val_categorical_accuracy: 0.9245 - 636ms/epoch - 5ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.1865 - categorical_accuracy: 0.9345 - val_loss: 0.2084 - val_categorical_accuracy: 0.9278 - 683ms/epoch - 5ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.1835 - categorical_accuracy: 0.9351 - val_loss: 0.5456 - val_categorical_accuracy: 0.8336 - 656ms/epoch - 5ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1924 - categorical_accuracy: 0.9334 - val_loss: 0.2069 - val_categorical_accuracy: 0.9260 - 670ms/epoch - 5ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2137 - categorical_accuracy: 0.9277 - val_loss: 0.2215 - val_categorical_accuracy: 0.9229 - 670ms/epoch - 5ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.1913 - categorical_accuracy: 0.9340 - val_loss: 0.2340 - val_categorical_accuracy: 0.9160 - 654ms/epoch - 5ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.1745 - categorical_accuracy: 0.9388 - val_loss: 0.2568 - val_categorical_accuracy: 0.9102 - 651ms/epoch - 5ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1725 - categorical_accuracy: 0.9396 - val_loss: 0.2180 - val_categorical_accuracy: 0.9224 - 669ms/epoch - 5ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.4103 - categorical_accuracy: 0.8776 - val_loss: 0.2714 - val_categorical_accuracy: 0.9070 - 671ms/epoch - 5ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1842 - categorical_accuracy: 0.9366 - val_loss: 0.2246 - val_categorical_accuracy: 0.9199 - 655ms/epoch - 5ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1713 - categorical_accuracy: 0.9401 - val_loss: 0.2016 - val_categorical_accuracy: 0.9293 - 654ms/epoch - 5ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1756 - categorical_accuracy: 0.9384 - val_loss: 0.1956 - val_categorical_accuracy: 0.9303 - 653ms/epoch - 5ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.2035 - categorical_accuracy: 0.9327 - val_loss: 0.2151 - val_categorical_accuracy: 0.9230 - 653ms/epoch - 5ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1594 - categorical_accuracy: 0.9445 - val_loss: 0.2237 - val_categorical_accuracy: 0.9239 - 667ms/epoch - 5ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1749 - categorical_accuracy: 0.9400 - val_loss: 0.2179 - val_categorical_accuracy: 0.9253 - 638ms/epoch - 5ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1572 - categorical_accuracy: 0.9444 - val_loss: 0.1966 - val_categorical_accuracy: 0.9323 - 653ms/epoch - 5ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1655 - categorical_accuracy: 0.9428 - val_loss: 0.1820 - val_categorical_accuracy: 0.9369 - 651ms/epoch - 5ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1495 - categorical_accuracy: 0.9480 - val_loss: 0.2130 - val_categorical_accuracy: 0.9274 - 636ms/epoch - 5ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1617 - categorical_accuracy: 0.9442 - val_loss: 0.1796 - val_categorical_accuracy: 0.9381 - 637ms/epoch - 5ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1682 - categorical_accuracy: 0.9432 - val_loss: 0.2384 - val_categorical_accuracy: 0.9179 - 679ms/epoch - 5ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1721 - categorical_accuracy: 0.9418 - val_loss: 0.1756 - val_categorical_accuracy: 0.9392 - 667ms/epoch - 5ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1586 - categorical_accuracy: 0.9458 - val_loss: 0.1908 - val_categorical_accuracy: 0.9366 - 655ms/epoch - 5ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1465 - categorical_accuracy: 0.9489 - val_loss: 0.1967 - val_categorical_accuracy: 0.9331 - 654ms/epoch - 5ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1447 - categorical_accuracy: 0.9494 - val_loss: 1.1976 - val_categorical_accuracy: 0.7605 - 639ms/epoch - 5ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1639 - categorical_accuracy: 0.9444 - val_loss: 0.2393 - val_categorical_accuracy: 0.9201 - 667ms/epoch - 5ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1528 - categorical_accuracy: 0.9479 - val_loss: 0.1832 - val_categorical_accuracy: 0.9368 - 683ms/epoch - 5ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.3048 - categorical_accuracy: 0.9101 - val_loss: 0.1991 - val_categorical_accuracy: 0.9308 - 638ms/epoch - 5ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1394 - categorical_accuracy: 0.9518 - val_loss: 0.1879 - val_categorical_accuracy: 0.9338 - 655ms/epoch - 5ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1358 - categorical_accuracy: 0.9526 - val_loss: 0.2246 - val_categorical_accuracy: 0.9249 - 654ms/epoch - 5ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1651 - categorical_accuracy: 0.9449 - val_loss: 0.1937 - val_categorical_accuracy: 0.9341 - 671ms/epoch - 5ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1363 - categorical_accuracy: 0.9521 - val_loss: 0.2030 - val_categorical_accuracy: 0.9328 - 684ms/epoch - 5ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1395 - categorical_accuracy: 0.9517 - val_loss: 0.2250 - val_categorical_accuracy: 0.9173 - 652ms/epoch - 5ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1869 - categorical_accuracy: 0.9411 - val_loss: 0.2082 - val_categorical_accuracy: 0.9273 - 639ms/epoch - 5ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1330 - categorical_accuracy: 0.9542 - val_loss: 0.1807 - val_categorical_accuracy: 0.9374 - 653ms/epoch - 5ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1429 - categorical_accuracy: 0.9509 - val_loss: 0.1966 - val_categorical_accuracy: 0.9329 - 670ms/epoch - 5ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1312 - categorical_accuracy: 0.9551 - val_loss: 0.1700 - val_categorical_accuracy: 0.9429 - 638ms/epoch - 5ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1330 - categorical_accuracy: 0.9540 - val_loss: 0.1795 - val_categorical_accuracy: 0.9393 - 670ms/epoch - 5ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1247 - categorical_accuracy: 0.9567 - val_loss: 0.1689 - val_categorical_accuracy: 0.9442 - 638ms/epoch - 5ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.2293 - categorical_accuracy: 0.9317 - val_loss: 0.1851 - val_categorical_accuracy: 0.9364 - 638ms/epoch - 5ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1222 - categorical_accuracy: 0.9578 - val_loss: 0.1755 - val_categorical_accuracy: 0.9395 - 655ms/epoch - 5ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1316 - categorical_accuracy: 0.9544 - val_loss: 0.1808 - val_categorical_accuracy: 0.9389 - 665ms/epoch - 5ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1380 - categorical_accuracy: 0.9536 - val_loss: 0.1714 - val_categorical_accuracy: 0.9397 - 665ms/epoch - 5ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1213 - categorical_accuracy: 0.9582 - val_loss: 0.1804 - val_categorical_accuracy: 0.9399 - 651ms/epoch - 5ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1243 - categorical_accuracy: 0.9573 - val_loss: 0.1763 - val_categorical_accuracy: 0.9394 - 649ms/epoch - 5ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1359 - categorical_accuracy: 0.9545 - val_loss: 0.2261 - val_categorical_accuracy: 0.9221 - 655ms/epoch - 5ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1333 - categorical_accuracy: 0.9549 - val_loss: 0.1644 - val_categorical_accuracy: 0.9462 - 685ms/epoch - 5ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1325 - categorical_accuracy: 0.9553 - val_loss: 0.1725 - val_categorical_accuracy: 0.9398 - 652ms/epoch - 5ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1567 - categorical_accuracy: 0.9507 - val_loss: 0.1705 - val_categorical_accuracy: 0.9416 - 637ms/epoch - 5ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1144 - categorical_accuracy: 0.9605 - val_loss: 0.1660 - val_categorical_accuracy: 0.9441 - 667ms/epoch - 5ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1841 - categorical_accuracy: 0.9445 - val_loss: 0.1716 - val_categorical_accuracy: 0.9420 - 653ms/epoch - 5ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1127 - categorical_accuracy: 0.9615 - val_loss: 0.1574 - val_categorical_accuracy: 0.9484 - 667ms/epoch - 5ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1155 - categorical_accuracy: 0.9606 - val_loss: 0.1659 - val_categorical_accuracy: 0.9436 - 656ms/epoch - 5ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1157 - categorical_accuracy: 0.9600 - val_loss: 0.1801 - val_categorical_accuracy: 0.9418 - 639ms/epoch - 5ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1146 - categorical_accuracy: 0.9606 - val_loss: 0.1558 - val_categorical_accuracy: 0.9477 - 655ms/epoch - 5ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1299 - categorical_accuracy: 0.9575 - val_loss: 0.1649 - val_categorical_accuracy: 0.9476 - 656ms/epoch - 5ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1079 - categorical_accuracy: 0.9627 - val_loss: 0.1601 - val_categorical_accuracy: 0.9485 - 638ms/epoch - 5ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1298 - categorical_accuracy: 0.9564 - val_loss: 0.1724 - val_categorical_accuracy: 0.9427 - 684ms/epoch - 5ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1214 - categorical_accuracy: 0.9600 - val_loss: 0.1778 - val_categorical_accuracy: 0.9406 - 668ms/epoch - 5ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9595 - val_loss: 0.7697 - val_categorical_accuracy: 0.7955 - 620ms/epoch - 4ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1086 - categorical_accuracy: 0.9637 - val_loss: 0.1898 - val_categorical_accuracy: 0.9350 - 655ms/epoch - 5ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1268 - categorical_accuracy: 0.9563 - val_loss: 0.1576 - val_categorical_accuracy: 0.9486 - 650ms/epoch - 5ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1017 - categorical_accuracy: 0.9652 - val_loss: 0.1720 - val_categorical_accuracy: 0.9430 - 670ms/epoch - 5ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1751 - categorical_accuracy: 0.9474 - val_loss: 0.1607 - val_categorical_accuracy: 0.9456 - 668ms/epoch - 5ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1183 - categorical_accuracy: 0.9602 - val_loss: 0.1625 - val_categorical_accuracy: 0.9461 - 651ms/epoch - 5ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1016 - categorical_accuracy: 0.9653 - val_loss: 0.3903 - val_categorical_accuracy: 0.8888 - 637ms/epoch - 5ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1051 - categorical_accuracy: 0.9643 - val_loss: 0.1814 - val_categorical_accuracy: 0.9402 - 652ms/epoch - 5ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1233 - categorical_accuracy: 0.9598 - val_loss: 0.1649 - val_categorical_accuracy: 0.9481 - 670ms/epoch - 5ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1212 - categorical_accuracy: 0.9604 - val_loss: 0.1602 - val_categorical_accuracy: 0.9463 - 639ms/epoch - 5ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.0949 - categorical_accuracy: 0.9677 - val_loss: 0.1740 - val_categorical_accuracy: 0.9434 - 655ms/epoch - 5ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9661 - val_loss: 0.2333 - val_categorical_accuracy: 0.9276 - 650ms/epoch - 5ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9591 - val_loss: 0.1555 - val_categorical_accuracy: 0.9498 - 638ms/epoch - 5ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0969 - categorical_accuracy: 0.9666 - val_loss: 0.1867 - val_categorical_accuracy: 0.9430 - 670ms/epoch - 5ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1097 - categorical_accuracy: 0.9620 - val_loss: 0.1820 - val_categorical_accuracy: 0.9412 - 664ms/epoch - 5ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1021 - categorical_accuracy: 0.9650 - val_loss: 0.3673 - val_categorical_accuracy: 0.8921 - 666ms/epoch - 5ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9660 - val_loss: 0.1587 - val_categorical_accuracy: 0.9481 - 669ms/epoch - 5ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1310 - categorical_accuracy: 0.9570 - val_loss: 0.1791 - val_categorical_accuracy: 0.9398 - 656ms/epoch - 5ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0924 - categorical_accuracy: 0.9687 - val_loss: 0.1598 - val_categorical_accuracy: 0.9506 - 655ms/epoch - 5ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1166 - categorical_accuracy: 0.9612 - val_loss: 0.1536 - val_categorical_accuracy: 0.9512 - 687ms/epoch - 5ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0904 - categorical_accuracy: 0.9690 - val_loss: 0.2062 - val_categorical_accuracy: 0.9372 - 652ms/epoch - 5ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1007 - categorical_accuracy: 0.9656 - val_loss: 0.1652 - val_categorical_accuracy: 0.9439 - 638ms/epoch - 5ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1142 - categorical_accuracy: 0.9628 - val_loss: 0.1903 - val_categorical_accuracy: 0.9410 - 656ms/epoch - 5ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1279 - categorical_accuracy: 0.9602 - val_loss: 0.1631 - val_categorical_accuracy: 0.9470 - 651ms/epoch - 5ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.0889 - categorical_accuracy: 0.9699 - val_loss: 0.1861 - val_categorical_accuracy: 0.9395 - 668ms/epoch - 5ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1190 - categorical_accuracy: 0.9613 - val_loss: 0.6184 - val_categorical_accuracy: 0.8198 - 655ms/epoch - 5ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0963 - categorical_accuracy: 0.9676 - val_loss: 0.1496 - val_categorical_accuracy: 0.9526 - 634ms/epoch - 4ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0978 - categorical_accuracy: 0.9662 - val_loss: 0.1949 - val_categorical_accuracy: 0.9385 - 651ms/epoch - 5ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0883 - categorical_accuracy: 0.9698 - val_loss: 0.1831 - val_categorical_accuracy: 0.9424 - 652ms/epoch - 5ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0999 - categorical_accuracy: 0.9669 - val_loss: 0.1743 - val_categorical_accuracy: 0.9406 - 639ms/epoch - 5ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9671 - val_loss: 0.1578 - val_categorical_accuracy: 0.9488 - 656ms/epoch - 5ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0932 - categorical_accuracy: 0.9680 - val_loss: 0.1517 - val_categorical_accuracy: 0.9538 - 665ms/epoch - 5ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9667 - val_loss: 0.1531 - val_categorical_accuracy: 0.9522 - 639ms/epoch - 5ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0891 - categorical_accuracy: 0.9696 - val_loss: 0.1542 - val_categorical_accuracy: 0.9510 - 653ms/epoch - 5ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1555 - categorical_accuracy: 0.9543 - val_loss: 0.1639 - val_categorical_accuracy: 0.9490 - 670ms/epoch - 5ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0869 - categorical_accuracy: 0.9701 - val_loss: 0.1822 - val_categorical_accuracy: 0.9376 - 651ms/epoch - 5ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0847 - categorical_accuracy: 0.9709 - val_loss: 0.3071 - val_categorical_accuracy: 0.9060 - 686ms/epoch - 5ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1290 - categorical_accuracy: 0.9618 - val_loss: 0.1434 - val_categorical_accuracy: 0.9544 - 671ms/epoch - 5ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0841 - categorical_accuracy: 0.9712 - val_loss: 0.1651 - val_categorical_accuracy: 0.9464 - 651ms/epoch - 5ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0921 - categorical_accuracy: 0.9684 - val_loss: 0.2296 - val_categorical_accuracy: 0.9265 - 670ms/epoch - 5ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.1129 - categorical_accuracy: 0.9643 - val_loss: 0.1501 - val_categorical_accuracy: 0.9527 - 686ms/epoch - 5ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0798 - categorical_accuracy: 0.9728 - val_loss: 0.1686 - val_categorical_accuracy: 0.9456 - 640ms/epoch - 5ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.1054 - categorical_accuracy: 0.9653 - val_loss: 0.1561 - val_categorical_accuracy: 0.9510 - 667ms/epoch - 5ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0804 - categorical_accuracy: 0.9727 - val_loss: 0.1697 - val_categorical_accuracy: 0.9491 - 653ms/epoch - 5ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0826 - categorical_accuracy: 0.9719 - val_loss: 0.1579 - val_categorical_accuracy: 0.9499 - 653ms/epoch - 5ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.1111 - categorical_accuracy: 0.9679 - val_loss: 5.3386 - val_categorical_accuracy: 0.3660 - 670ms/epoch - 5ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.9492 - categorical_accuracy: 0.7045 - val_loss: 0.3321 - val_categorical_accuracy: 0.8855 - 666ms/epoch - 5ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.2027 - categorical_accuracy: 0.9294 - val_loss: 0.2043 - val_categorical_accuracy: 0.9318 - 640ms/epoch - 5ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.1371 - categorical_accuracy: 0.9525 - val_loss: 0.1946 - val_categorical_accuracy: 0.9337 - 652ms/epoch - 5ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.1202 - categorical_accuracy: 0.9583 - val_loss: 0.1677 - val_categorical_accuracy: 0.9442 - 653ms/epoch - 5ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1052 - categorical_accuracy: 0.9638 - val_loss: 0.1744 - val_categorical_accuracy: 0.9458 - 653ms/epoch - 5ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.1048 - categorical_accuracy: 0.9637 - val_loss: 0.3521 - val_categorical_accuracy: 0.8990 - 667ms/epoch - 5ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.1057 - categorical_accuracy: 0.9639 - val_loss: 0.1837 - val_categorical_accuracy: 0.9418 - 666ms/epoch - 5ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0970 - categorical_accuracy: 0.9667 - val_loss: 0.1648 - val_categorical_accuracy: 0.9471 - 638ms/epoch - 5ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0913 - categorical_accuracy: 0.9687 - val_loss: 0.1549 - val_categorical_accuracy: 0.9524 - 669ms/epoch - 5ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0883 - categorical_accuracy: 0.9697 - val_loss: 0.1684 - val_categorical_accuracy: 0.9453 - 640ms/epoch - 5ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.1022 - categorical_accuracy: 0.9658 - val_loss: 0.1796 - val_categorical_accuracy: 0.9441 - 653ms/epoch - 5ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0848 - categorical_accuracy: 0.9713 - val_loss: 0.1879 - val_categorical_accuracy: 0.9370 - 680ms/epoch - 5ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.1089 - categorical_accuracy: 0.9647 - val_loss: 0.1596 - val_categorical_accuracy: 0.9500 - 648ms/epoch - 5ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9714 - val_loss: 0.2097 - val_categorical_accuracy: 0.9373 - 639ms/epoch - 5ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0825 - categorical_accuracy: 0.9717 - val_loss: 0.1496 - val_categorical_accuracy: 0.9543 - 667ms/epoch - 5ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0945 - categorical_accuracy: 0.9676 - val_loss: 0.1694 - val_categorical_accuracy: 0.9463 - 671ms/epoch - 5ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9730 - val_loss: 0.1677 - val_categorical_accuracy: 0.9449 - 640ms/epoch - 5ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.1224 - categorical_accuracy: 0.9613 - val_loss: 0.1639 - val_categorical_accuracy: 0.9492 - 668ms/epoch - 5ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0818 - categorical_accuracy: 0.9722 - val_loss: 0.1866 - val_categorical_accuracy: 0.9448 - 637ms/epoch - 5ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0779 - categorical_accuracy: 0.9730 - val_loss: 0.1812 - val_categorical_accuracy: 0.9457 - 651ms/epoch - 5ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9726 - val_loss: 0.1583 - val_categorical_accuracy: 0.9535 - 650ms/epoch - 5ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.2392 - categorical_accuracy: 0.9330 - val_loss: 0.1685 - val_categorical_accuracy: 0.9447 - 650ms/epoch - 5ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0827 - categorical_accuracy: 0.9719 - val_loss: 0.1499 - val_categorical_accuracy: 0.9529 - 684ms/epoch - 5ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0766 - categorical_accuracy: 0.9740 - val_loss: 0.1427 - val_categorical_accuracy: 0.9564 - 655ms/epoch - 5ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0995 - categorical_accuracy: 0.9681 - val_loss: 0.1415 - val_categorical_accuracy: 0.9545 - 640ms/epoch - 5ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9744 - val_loss: 0.1685 - val_categorical_accuracy: 0.9486 - 669ms/epoch - 5ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9737 - val_loss: 0.1762 - val_categorical_accuracy: 0.9439 - 716ms/epoch - 5ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0751 - categorical_accuracy: 0.9744 - val_loss: 0.1554 - val_categorical_accuracy: 0.9532 - 639ms/epoch - 5ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.1056 - categorical_accuracy: 0.9668 - val_loss: 0.1579 - val_categorical_accuracy: 0.9471 - 640ms/epoch - 5ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0759 - categorical_accuracy: 0.9742 - val_loss: 0.1622 - val_categorical_accuracy: 0.9478 - 636ms/epoch - 5ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0736 - categorical_accuracy: 0.9749 - val_loss: 0.1464 - val_categorical_accuracy: 0.9570 - 652ms/epoch - 5ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.1317 - categorical_accuracy: 0.9608 - val_loss: 0.1530 - val_categorical_accuracy: 0.9533 - 701ms/epoch - 5ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9737 - val_loss: 0.1967 - val_categorical_accuracy: 0.9433 - 654ms/epoch - 5ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9743 - val_loss: 0.1592 - val_categorical_accuracy: 0.9531 - 639ms/epoch - 5ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0937 - categorical_accuracy: 0.9701 - val_loss: 0.1523 - val_categorical_accuracy: 0.9529 - 647ms/epoch - 5ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0909 - categorical_accuracy: 0.9706 - val_loss: 0.2483 - val_categorical_accuracy: 0.9201 - 649ms/epoch - 5ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0746 - categorical_accuracy: 0.9749 - val_loss: 0.1507 - val_categorical_accuracy: 0.9555 - 670ms/epoch - 5ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0902 - categorical_accuracy: 0.9707 - val_loss: 0.1661 - val_categorical_accuracy: 0.9489 - 655ms/epoch - 5ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0723 - categorical_accuracy: 0.9756 - val_loss: 0.1621 - val_categorical_accuracy: 0.9496 - 652ms/epoch - 5ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0835 - categorical_accuracy: 0.9723 - val_loss: 0.1593 - val_categorical_accuracy: 0.9541 - 637ms/epoch - 5ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9758 - val_loss: 0.1427 - val_categorical_accuracy: 0.9573 - 672ms/epoch - 5ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0778 - categorical_accuracy: 0.9732 - val_loss: 0.1848 - val_categorical_accuracy: 0.9469 - 672ms/epoch - 5ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0912 - categorical_accuracy: 0.9700 - val_loss: 0.1493 - val_categorical_accuracy: 0.9570 - 653ms/epoch - 5ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9766 - val_loss: 0.1598 - val_categorical_accuracy: 0.9540 - 653ms/epoch - 5ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9758 - val_loss: 0.1457 - val_categorical_accuracy: 0.9583 - 636ms/epoch - 5ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9691 - val_loss: 0.1645 - val_categorical_accuracy: 0.9487 - 637ms/epoch - 5ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9768 - val_loss: 0.1459 - val_categorical_accuracy: 0.9567 - 701ms/epoch - 5ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9763 - val_loss: 0.1693 - val_categorical_accuracy: 0.9500 - 650ms/epoch - 5ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.1476 - categorical_accuracy: 0.9567 - val_loss: 0.1549 - val_categorical_accuracy: 0.9534 - 647ms/epoch - 5ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0710 - categorical_accuracy: 0.9759 - val_loss: 0.1625 - val_categorical_accuracy: 0.9523 - 663ms/epoch - 5ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.1100 - categorical_accuracy: 0.9669 - val_loss: 0.1439 - val_categorical_accuracy: 0.9570 - 637ms/epoch - 5ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9774 - val_loss: 0.1686 - val_categorical_accuracy: 0.9477 - 685ms/epoch - 5ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9764 - val_loss: 0.1651 - val_categorical_accuracy: 0.9533 - 656ms/epoch - 5ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9768 - val_loss: 0.1687 - val_categorical_accuracy: 0.9532 - 652ms/epoch - 5ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0669 - categorical_accuracy: 0.9770 - val_loss: 0.1865 - val_categorical_accuracy: 0.9484 - 652ms/epoch - 5ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0964 - categorical_accuracy: 0.9688 - val_loss: 0.1503 - val_categorical_accuracy: 0.9559 - 655ms/epoch - 5ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9779 - val_loss: 0.1480 - val_categorical_accuracy: 0.9586 - 637ms/epoch - 5ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.1270 - categorical_accuracy: 0.9623 - val_loss: 0.1432 - val_categorical_accuracy: 0.9573 - 670ms/epoch - 5ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9775 - val_loss: 0.1498 - val_categorical_accuracy: 0.9560 - 655ms/epoch - 5ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9771 - val_loss: 0.1518 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9763 - val_loss: 0.1579 - val_categorical_accuracy: 0.9533 - 650ms/epoch - 5ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0854 - categorical_accuracy: 0.9722 - val_loss: 0.1524 - val_categorical_accuracy: 0.9546 - 653ms/epoch - 5ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0953 - categorical_accuracy: 0.9702 - val_loss: 0.1469 - val_categorical_accuracy: 0.9577 - 638ms/epoch - 5ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9780 - val_loss: 0.1641 - val_categorical_accuracy: 0.9528 - 671ms/epoch - 5ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0877 - categorical_accuracy: 0.9711 - val_loss: 0.1451 - val_categorical_accuracy: 0.9553 - 670ms/epoch - 5ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9782 - val_loss: 0.1672 - val_categorical_accuracy: 0.9500 - 632ms/epoch - 4ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9780 - val_loss: 0.1507 - val_categorical_accuracy: 0.9579 - 651ms/epoch - 5ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0645 - categorical_accuracy: 0.9780 - val_loss: 0.1671 - val_categorical_accuracy: 0.9549 - 639ms/epoch - 5ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9772 - val_loss: 0.2190 - val_categorical_accuracy: 0.9376 - 683ms/epoch - 5ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.1028 - categorical_accuracy: 0.9689 - val_loss: 0.1700 - val_categorical_accuracy: 0.9506 - 669ms/epoch - 5ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9788 - val_loss: 0.1727 - val_categorical_accuracy: 0.9522 - 667ms/epoch - 5ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9774 - val_loss: 0.1572 - val_categorical_accuracy: 0.9537 - 637ms/epoch - 5ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9788 - val_loss: 0.1587 - val_categorical_accuracy: 0.9557 - 655ms/epoch - 5ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0922 - categorical_accuracy: 0.9709 - val_loss: 0.1471 - val_categorical_accuracy: 0.9590 - 638ms/epoch - 5ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9781 - val_loss: 0.1831 - val_categorical_accuracy: 0.9473 - 650ms/epoch - 5ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9788 - val_loss: 0.1879 - val_categorical_accuracy: 0.9493 - 656ms/epoch - 5ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.1619 - categorical_accuracy: 0.9534 - val_loss: 0.1452 - val_categorical_accuracy: 0.9555 - 638ms/epoch - 5ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9787 - val_loss: 0.1529 - val_categorical_accuracy: 0.9563 - 638ms/epoch - 5ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9787 - val_loss: 0.1675 - val_categorical_accuracy: 0.9522 - 652ms/epoch - 5ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9776 - val_loss: 0.1524 - val_categorical_accuracy: 0.9566 - 652ms/epoch - 5ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9784 - val_loss: 0.1731 - val_categorical_accuracy: 0.9507 - 653ms/epoch - 5ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0688 - categorical_accuracy: 0.9762 - val_loss: 0.1509 - val_categorical_accuracy: 0.9582 - 670ms/epoch - 5ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9782 - val_loss: 0.1560 - val_categorical_accuracy: 0.9568 - 639ms/epoch - 5ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9694 - val_loss: 0.1498 - val_categorical_accuracy: 0.9591 - 655ms/epoch - 5ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9795 - val_loss: 0.1660 - val_categorical_accuracy: 0.9554 - 684ms/epoch - 5ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9788 - val_loss: 0.2767 - val_categorical_accuracy: 0.9233 - 655ms/epoch - 5ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9696 - val_loss: 0.1448 - val_categorical_accuracy: 0.9585 - 670ms/epoch - 5ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9801 - val_loss: 0.1575 - val_categorical_accuracy: 0.9574 - 671ms/epoch - 5ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9797 - val_loss: 0.1565 - val_categorical_accuracy: 0.9585 - 638ms/epoch - 5ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9798 - val_loss: 0.1682 - val_categorical_accuracy: 0.9530 - 686ms/epoch - 5ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9785 - val_loss: 0.1845 - val_categorical_accuracy: 0.9519 - 653ms/epoch - 5ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9783 - val_loss: 0.1504 - val_categorical_accuracy: 0.9594 - 639ms/epoch - 5ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0942 - categorical_accuracy: 0.9714 - val_loss: 0.1466 - val_categorical_accuracy: 0.9603 - 666ms/epoch - 5ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9799 - val_loss: 0.1781 - val_categorical_accuracy: 0.9499 - 640ms/epoch - 5ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9789 - val_loss: 0.1424 - val_categorical_accuracy: 0.9608 - 684ms/epoch - 5ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9801 - val_loss: 0.1578 - val_categorical_accuracy: 0.9559 - 655ms/epoch - 5ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0881 - categorical_accuracy: 0.9722 - val_loss: 0.1451 - val_categorical_accuracy: 0.9579 - 654ms/epoch - 5ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9791 - val_loss: 0.1631 - val_categorical_accuracy: 0.9553 - 638ms/epoch - 5ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9798 - val_loss: 0.2059 - val_categorical_accuracy: 0.9444 - 652ms/epoch - 5ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9779 - val_loss: 0.1959 - val_categorical_accuracy: 0.9404 - 685ms/epoch - 5ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0796 - categorical_accuracy: 0.9736 - val_loss: 0.1915 - val_categorical_accuracy: 0.9442 - 654ms/epoch - 5ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9801 - val_loss: 0.1765 - val_categorical_accuracy: 0.9509 - 651ms/epoch - 5ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9700 - val_loss: 0.1535 - val_categorical_accuracy: 0.9577 - 653ms/epoch - 5ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9803 - val_loss: 0.1513 - val_categorical_accuracy: 0.9585 - 637ms/epoch - 5ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9810 - val_loss: 0.1484 - val_categorical_accuracy: 0.9599 - 685ms/epoch - 5ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9798 - val_loss: 0.1641 - val_categorical_accuracy: 0.9528 - 655ms/epoch - 5ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9780 - val_loss: 0.1866 - val_categorical_accuracy: 0.9496 - 636ms/epoch - 5ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0922 - categorical_accuracy: 0.9711 - val_loss: 0.1521 - val_categorical_accuracy: 0.9589 - 672ms/epoch - 5ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9811 - val_loss: 0.1544 - val_categorical_accuracy: 0.9545 - 655ms/epoch - 5ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9802 - val_loss: 0.1894 - val_categorical_accuracy: 0.9461 - 653ms/epoch - 5ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.1037 - categorical_accuracy: 0.9689 - val_loss: 0.1539 - val_categorical_accuracy: 0.9574 - 686ms/epoch - 5ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9804 - val_loss: 0.1595 - val_categorical_accuracy: 0.9569 - 651ms/epoch - 5ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9804 - val_loss: 0.1612 - val_categorical_accuracy: 0.9554 - 813ms/epoch - 6ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9800 - val_loss: 0.3226 - val_categorical_accuracy: 0.9153 - 653ms/epoch - 5ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.1321 - categorical_accuracy: 0.9619 - val_loss: 0.1480 - val_categorical_accuracy: 0.9591 - 703ms/epoch - 5ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9792 - val_loss: 0.1470 - val_categorical_accuracy: 0.9595 - 637ms/epoch - 5ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9812 - val_loss: 0.1586 - val_categorical_accuracy: 0.9574 - 655ms/epoch - 5ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9799 - val_loss: 0.1595 - val_categorical_accuracy: 0.9565 - 670ms/epoch - 5ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.1011 - categorical_accuracy: 0.9702 - val_loss: 0.1485 - val_categorical_accuracy: 0.9583 - 652ms/epoch - 5ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9809 - val_loss: 0.1439 - val_categorical_accuracy: 0.9608 - 683ms/epoch - 5ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9812 - val_loss: 0.1740 - val_categorical_accuracy: 0.9484 - 655ms/epoch - 5ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9752 - val_loss: 0.1540 - val_categorical_accuracy: 0.9558 - 641ms/epoch - 5ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9805 - val_loss: 0.1682 - val_categorical_accuracy: 0.9514 - 664ms/epoch - 5ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.1072 - categorical_accuracy: 0.9685 - val_loss: 0.1692 - val_categorical_accuracy: 0.9517 - 683ms/epoch - 5ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9814 - val_loss: 0.1541 - val_categorical_accuracy: 0.9571 - 637ms/epoch - 5ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9789 - val_loss: 0.1549 - val_categorical_accuracy: 0.9596 - 670ms/epoch - 5ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9805 - val_loss: 0.1753 - val_categorical_accuracy: 0.9532 - 653ms/epoch - 5ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9810 - val_loss: 0.1685 - val_categorical_accuracy: 0.9534 - 639ms/epoch - 5ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9807 - val_loss: 0.2008 - val_categorical_accuracy: 0.9488 - 671ms/epoch - 5ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9809 - val_loss: 0.1847 - val_categorical_accuracy: 0.9502 - 666ms/epoch - 5ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0601 - categorical_accuracy: 0.9792 - val_loss: 0.1502 - val_categorical_accuracy: 0.9612 - 654ms/epoch - 5ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9814 - val_loss: 0.1565 - val_categorical_accuracy: 0.9588 - 670ms/epoch - 5ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.1315 - categorical_accuracy: 0.9655 - val_loss: 0.3948 - val_categorical_accuracy: 0.8610 - 654ms/epoch - 5ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9710 - val_loss: 0.1740 - val_categorical_accuracy: 0.9520 - 640ms/epoch - 5ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9809 - val_loss: 0.1522 - val_categorical_accuracy: 0.9599 - 683ms/epoch - 5ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9811 - val_loss: 0.1640 - val_categorical_accuracy: 0.9559 - 655ms/epoch - 5ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9820 - val_loss: 0.1605 - val_categorical_accuracy: 0.9551 - 654ms/epoch - 5ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9808 - val_loss: 0.1709 - val_categorical_accuracy: 0.9566 - 653ms/epoch - 5ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0840 - categorical_accuracy: 0.9733 - val_loss: 0.1537 - val_categorical_accuracy: 0.9580 - 654ms/epoch - 5ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9810 - val_loss: 0.1590 - val_categorical_accuracy: 0.9580 - 669ms/epoch - 5ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9810 - val_loss: 0.1583 - val_categorical_accuracy: 0.9576 - 655ms/epoch - 5ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9815 - val_loss: 0.1673 - val_categorical_accuracy: 0.9577 - 654ms/epoch - 5ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9816 - val_loss: 0.1685 - val_categorical_accuracy: 0.9548 - 654ms/epoch - 5ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0959 - categorical_accuracy: 0.9706 - val_loss: 0.1533 - val_categorical_accuracy: 0.9589 - 655ms/epoch - 5ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9814 - val_loss: 0.1741 - val_categorical_accuracy: 0.9546 - 654ms/epoch - 5ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9819 - val_loss: 0.1793 - val_categorical_accuracy: 0.9530 - 666ms/epoch - 5ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0899 - categorical_accuracy: 0.9731 - val_loss: 0.1805 - val_categorical_accuracy: 0.9461 - 685ms/epoch - 5ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9806 - val_loss: 0.1637 - val_categorical_accuracy: 0.9580 - 654ms/epoch - 5ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9820 - val_loss: 0.1635 - val_categorical_accuracy: 0.9574 - 654ms/epoch - 5ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9809 - val_loss: 0.1831 - val_categorical_accuracy: 0.9549 - 667ms/epoch - 5ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9804 - val_loss: 0.1628 - val_categorical_accuracy: 0.9578 - 655ms/epoch - 5ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9810 - val_loss: 0.4076 - val_categorical_accuracy: 0.9102 - 638ms/epoch - 5ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0877 - categorical_accuracy: 0.9728 - val_loss: 0.1541 - val_categorical_accuracy: 0.9600 - 656ms/epoch - 5ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9820 - val_loss: 0.1638 - val_categorical_accuracy: 0.9570 - 652ms/epoch - 5ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9823 - val_loss: 0.1686 - val_categorical_accuracy: 0.9545 - 653ms/epoch - 5ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9813 - val_loss: 0.1700 - val_categorical_accuracy: 0.9556 - 656ms/epoch - 5ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9812 - val_loss: 0.2184 - val_categorical_accuracy: 0.9476 - 656ms/epoch - 5ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9818 - val_loss: 0.1692 - val_categorical_accuracy: 0.9555 - 669ms/epoch - 5ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9810 - val_loss: 0.1868 - val_categorical_accuracy: 0.9528 - 653ms/epoch - 5ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9814 - val_loss: 0.1670 - val_categorical_accuracy: 0.9555 - 637ms/epoch - 5ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0870 - categorical_accuracy: 0.9732 - val_loss: 0.1635 - val_categorical_accuracy: 0.9579 - 668ms/epoch - 5ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9825 - val_loss: 0.1491 - val_categorical_accuracy: 0.9607 - 683ms/epoch - 5ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9823 - val_loss: 0.2102 - val_categorical_accuracy: 0.9469 - 638ms/epoch - 5ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0857 - categorical_accuracy: 0.9739 - val_loss: 0.1691 - val_categorical_accuracy: 0.9568 - 656ms/epoch - 5ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9820 - val_loss: 0.1533 - val_categorical_accuracy: 0.9579 - 654ms/epoch - 5ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9819 - val_loss: 0.2205 - val_categorical_accuracy: 0.9407 - 650ms/epoch - 5ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0890 - categorical_accuracy: 0.9736 - val_loss: 0.1582 - val_categorical_accuracy: 0.9556 - 684ms/epoch - 5ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9821 - val_loss: 0.1576 - val_categorical_accuracy: 0.9557 - 652ms/epoch - 5ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.1090 - categorical_accuracy: 0.9690 - val_loss: 0.1513 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9819 - val_loss: 0.1573 - val_categorical_accuracy: 0.9599 - 647ms/epoch - 5ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9824 - val_loss: 0.1547 - val_categorical_accuracy: 0.9598 - 652ms/epoch - 5ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9827 - val_loss: 0.1651 - val_categorical_accuracy: 0.9561 - 655ms/epoch - 5ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9823 - val_loss: 0.1621 - val_categorical_accuracy: 0.9597 - 685ms/epoch - 5ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9804 - val_loss: 0.1554 - val_categorical_accuracy: 0.9609 - 671ms/epoch - 5ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9825 - val_loss: 0.1805 - val_categorical_accuracy: 0.9564 - 653ms/epoch - 5ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9745 - val_loss: 0.1461 - val_categorical_accuracy: 0.9618 - 668ms/epoch - 5ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9828 - val_loss: 0.1736 - val_categorical_accuracy: 0.9544 - 655ms/epoch - 5ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9820 - val_loss: 0.1628 - val_categorical_accuracy: 0.9570 - 703ms/epoch - 5ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9822 - val_loss: 0.1814 - val_categorical_accuracy: 0.9518 - 650ms/epoch - 5ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9818 - val_loss: 0.1811 - val_categorical_accuracy: 0.9522 - 654ms/epoch - 5ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9815 - val_loss: 0.1619 - val_categorical_accuracy: 0.9562 - 638ms/epoch - 5ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1555 - val_categorical_accuracy: 0.9616 - 671ms/epoch - 5ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9823 - val_loss: 0.1749 - val_categorical_accuracy: 0.9529 - 668ms/epoch - 5ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.1148 - categorical_accuracy: 0.9664 - val_loss: 0.1484 - val_categorical_accuracy: 0.9586 - 635ms/epoch - 5ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9819 - val_loss: 0.1571 - val_categorical_accuracy: 0.9594 - 671ms/epoch - 5ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9830 - val_loss: 0.1677 - val_categorical_accuracy: 0.9579 - 684ms/epoch - 5ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9822 - val_loss: 0.2244 - val_categorical_accuracy: 0.9396 - 671ms/epoch - 5ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9826 - val_loss: 0.1801 - val_categorical_accuracy: 0.9535 - 664ms/epoch - 5ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9820 - val_loss: 0.1657 - val_categorical_accuracy: 0.9601 - 653ms/epoch - 5ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0821 - categorical_accuracy: 0.9751 - val_loss: 0.1588 - val_categorical_accuracy: 0.9597 - 671ms/epoch - 5ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9826 - val_loss: 0.1675 - val_categorical_accuracy: 0.9565 - 655ms/epoch - 5ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1662 - val_categorical_accuracy: 0.9598 - 683ms/epoch - 5ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9826 - val_loss: 0.1749 - val_categorical_accuracy: 0.9529 - 680ms/epoch - 5ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9819 - val_loss: 0.1620 - val_categorical_accuracy: 0.9599 - 663ms/epoch - 5ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1641 - val_categorical_accuracy: 0.9555 - 667ms/epoch - 5ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9826 - val_loss: 0.2353 - val_categorical_accuracy: 0.9397 - 653ms/epoch - 5ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.1023 - categorical_accuracy: 0.9689 - val_loss: 0.1539 - val_categorical_accuracy: 0.9594 - 730ms/epoch - 5ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9825 - val_loss: 0.1548 - val_categorical_accuracy: 0.9602 - 682ms/epoch - 5ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9828 - val_loss: 0.1680 - val_categorical_accuracy: 0.9561 - 655ms/epoch - 5ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9830 - val_loss: 0.1899 - val_categorical_accuracy: 0.9494 - 670ms/epoch - 5ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9828 - val_loss: 0.1581 - val_categorical_accuracy: 0.9616 - 655ms/epoch - 5ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9825 - val_loss: 0.1654 - val_categorical_accuracy: 0.9593 - 680ms/epoch - 5ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.1135 - categorical_accuracy: 0.9672 - val_loss: 0.1935 - val_categorical_accuracy: 0.9449 - 682ms/epoch - 5ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9803 - val_loss: 0.1823 - val_categorical_accuracy: 0.9563 - 699ms/epoch - 5ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9827 - val_loss: 0.1646 - val_categorical_accuracy: 0.9567 - 653ms/epoch - 5ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9829 - val_loss: 0.1642 - val_categorical_accuracy: 0.9580 - 684ms/epoch - 5ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9816 - val_loss: 0.1753 - val_categorical_accuracy: 0.9540 - 716ms/epoch - 5ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.1992 - val_categorical_accuracy: 0.9520 - 684ms/epoch - 5ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0853 - categorical_accuracy: 0.9735 - val_loss: 0.1549 - val_categorical_accuracy: 0.9605 - 686ms/epoch - 5ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9834 - val_loss: 0.1649 - val_categorical_accuracy: 0.9581 - 685ms/epoch - 5ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9833 - val_loss: 0.1591 - val_categorical_accuracy: 0.9625 - 685ms/epoch - 5ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9836 - val_loss: 0.1714 - val_categorical_accuracy: 0.9572 - 668ms/epoch - 5ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9832 - val_loss: 0.1565 - val_categorical_accuracy: 0.9607 - 714ms/epoch - 5ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.3552 - categorical_accuracy: 0.8970 - val_loss: 0.3380 - val_categorical_accuracy: 0.8865 - 683ms/epoch - 5ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.1260 - categorical_accuracy: 0.9571 - val_loss: 0.1592 - val_categorical_accuracy: 0.9543 - 656ms/epoch - 5ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9772 - val_loss: 0.1609 - val_categorical_accuracy: 0.9560 - 703ms/epoch - 5ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9815 - val_loss: 0.1601 - val_categorical_accuracy: 0.9596 - 682ms/epoch - 5ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9820 - val_loss: 0.1613 - val_categorical_accuracy: 0.9585 - 652ms/epoch - 5ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9823 - val_loss: 0.1623 - val_categorical_accuracy: 0.9608 - 680ms/epoch - 5ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9824 - val_loss: 0.1653 - val_categorical_accuracy: 0.9581 - 671ms/epoch - 5ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9826 - val_loss: 0.1777 - val_categorical_accuracy: 0.9546 - 682ms/epoch - 5ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9825 - val_loss: 0.1682 - val_categorical_accuracy: 0.9587 - 685ms/epoch - 5ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.1005 - categorical_accuracy: 0.9694 - val_loss: 0.1602 - val_categorical_accuracy: 0.9581 - 669ms/epoch - 5ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9829 - val_loss: 0.1646 - val_categorical_accuracy: 0.9586 - 663ms/epoch - 5ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9833 - val_loss: 0.1552 - val_categorical_accuracy: 0.9612 - 687ms/epoch - 5ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.1982 - val_categorical_accuracy: 0.9454 - 719ms/epoch - 5ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9817 - val_loss: 0.1601 - val_categorical_accuracy: 0.9599 - 685ms/epoch - 5ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0746 - categorical_accuracy: 0.9757 - val_loss: 0.1515 - val_categorical_accuracy: 0.9619 - 666ms/epoch - 5ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9833 - val_loss: 0.1630 - val_categorical_accuracy: 0.9594 - 685ms/epoch - 5ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9829 - val_loss: 0.2583 - val_categorical_accuracy: 0.9336 - 671ms/epoch - 5ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9830 - val_loss: 0.1801 - val_categorical_accuracy: 0.9558 - 701ms/epoch - 5ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9827 - val_loss: 0.1706 - val_categorical_accuracy: 0.9575 - 694ms/epoch - 5ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9823 - val_loss: 0.1645 - val_categorical_accuracy: 0.9579 - 665ms/epoch - 5ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0810 - categorical_accuracy: 0.9750 - val_loss: 0.1678 - val_categorical_accuracy: 0.9564 - 668ms/epoch - 5ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9834 - val_loss: 0.1620 - val_categorical_accuracy: 0.9602 - 686ms/epoch - 5ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.1612 - val_categorical_accuracy: 0.9593 - 682ms/epoch - 5ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9823 - val_loss: 0.1549 - val_categorical_accuracy: 0.9625 - 686ms/epoch - 5ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9831 - val_loss: 0.1626 - val_categorical_accuracy: 0.9608 - 701ms/epoch - 5ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9833 - val_loss: 0.1611 - val_categorical_accuracy: 0.9575 - 680ms/epoch - 5ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9835 - val_loss: 0.1709 - val_categorical_accuracy: 0.9580 - 654ms/epoch - 5ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9833 - val_loss: 0.1631 - val_categorical_accuracy: 0.9608 - 745ms/epoch - 5ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9823 - val_loss: 0.2095 - val_categorical_accuracy: 0.9429 - 701ms/epoch - 5ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9822 - val_loss: 0.2325 - val_categorical_accuracy: 0.9392 - 653ms/epoch - 5ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.2243 - categorical_accuracy: 0.9384 - val_loss: 0.1617 - val_categorical_accuracy: 0.9556 - 694ms/epoch - 5ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9822 - val_loss: 0.1705 - val_categorical_accuracy: 0.9565 - 751ms/epoch - 5ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9833 - val_loss: 0.1665 - val_categorical_accuracy: 0.9593 - 671ms/epoch - 5ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9833 - val_loss: 0.1504 - val_categorical_accuracy: 0.9622 - 652ms/epoch - 5ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9833 - val_loss: 0.1555 - val_categorical_accuracy: 0.9619 - 670ms/epoch - 5ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9834 - val_loss: 0.1638 - val_categorical_accuracy: 0.9598 - 671ms/epoch - 5ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9834 - val_loss: 0.1672 - val_categorical_accuracy: 0.9597 - 699ms/epoch - 5ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9832 - val_loss: 0.1618 - val_categorical_accuracy: 0.9610 - 686ms/epoch - 5ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9837 - val_loss: 0.1647 - val_categorical_accuracy: 0.9583 - 670ms/epoch - 5ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1900 - val_categorical_accuracy: 0.9551 - 672ms/epoch - 5ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9835 - val_loss: 0.1582 - val_categorical_accuracy: 0.9613 - 680ms/epoch - 5ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9826 - val_loss: 0.1904 - val_categorical_accuracy: 0.9502 - 733ms/epoch - 5ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0938 - categorical_accuracy: 0.9718 - val_loss: 0.1661 - val_categorical_accuracy: 0.9572 - 654ms/epoch - 5ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9837 - val_loss: 0.1699 - val_categorical_accuracy: 0.9558 - 685ms/epoch - 5ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9842 - val_loss: 0.1775 - val_categorical_accuracy: 0.9559 - 654ms/epoch - 5ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9773 - val_loss: 0.1579 - val_categorical_accuracy: 0.9600 - 685ms/epoch - 5ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9840 - val_loss: 0.1636 - val_categorical_accuracy: 0.9599 - 684ms/epoch - 5ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9828 - val_loss: 0.1737 - val_categorical_accuracy: 0.9577 - 701ms/epoch - 5ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9836 - val_loss: 0.1709 - val_categorical_accuracy: 0.9563 - 666ms/epoch - 5ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9836 - val_loss: 0.1705 - val_categorical_accuracy: 0.9615 - 687ms/epoch - 5ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9838 - val_loss: 0.2102 - val_categorical_accuracy: 0.9550 - 730ms/epoch - 5ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9832 - val_loss: 0.1659 - val_categorical_accuracy: 0.9587 - 686ms/epoch - 5ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0919 - categorical_accuracy: 0.9734 - val_loss: 0.1630 - val_categorical_accuracy: 0.9575 - 654ms/epoch - 5ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9837 - val_loss: 0.1524 - val_categorical_accuracy: 0.9626 - 669ms/epoch - 5ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9841 - val_loss: 0.1800 - val_categorical_accuracy: 0.9566 - 668ms/epoch - 5ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9845 - val_loss: 0.1747 - val_categorical_accuracy: 0.9570 - 701ms/epoch - 5ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9834 - val_loss: 0.1665 - val_categorical_accuracy: 0.9615 - 733ms/epoch - 5ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9847 - val_loss: 0.1609 - val_categorical_accuracy: 0.9608 - 687ms/epoch - 5ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9828 - val_loss: 0.1689 - val_categorical_accuracy: 0.9591 - 639ms/epoch - 5ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1696 - val_categorical_accuracy: 0.9594 - 696ms/epoch - 5ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9838 - val_loss: 0.1634 - val_categorical_accuracy: 0.9625 - 716ms/epoch - 5ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9832 - val_loss: 0.1620 - val_categorical_accuracy: 0.9610 - 653ms/epoch - 5ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9835 - val_loss: 0.1588 - val_categorical_accuracy: 0.9608 - 668ms/epoch - 5ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.1815 - val_categorical_accuracy: 0.9601 - 687ms/epoch - 5ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9839 - val_loss: 0.1801 - val_categorical_accuracy: 0.9575 - 702ms/epoch - 5ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.1496 - categorical_accuracy: 0.9576 - val_loss: 0.1747 - val_categorical_accuracy: 0.9519 - 700ms/epoch - 5ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9833 - val_loss: 0.1790 - val_categorical_accuracy: 0.9571 - 700ms/epoch - 5ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1853 - val_categorical_accuracy: 0.9516 - 672ms/epoch - 5ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9835 - val_loss: 0.1703 - val_categorical_accuracy: 0.9601 - 685ms/epoch - 5ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9839 - val_loss: 0.1756 - val_categorical_accuracy: 0.9566 - 732ms/epoch - 5ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9835 - val_loss: 0.1656 - val_categorical_accuracy: 0.9619 - 666ms/epoch - 5ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9834 - val_loss: 0.1852 - val_categorical_accuracy: 0.9566 - 653ms/epoch - 5ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.1956 - val_categorical_accuracy: 0.9512 - 671ms/epoch - 5ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9838 - val_loss: 0.1701 - val_categorical_accuracy: 0.9594 - 703ms/epoch - 5ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.1630 - val_categorical_accuracy: 0.9611 - 652ms/epoch - 5ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9844 - val_loss: 0.1829 - val_categorical_accuracy: 0.9565 - 694ms/epoch - 5ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.1878 - val_categorical_accuracy: 0.9565 - 669ms/epoch - 5ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.1654 - val_categorical_accuracy: 0.9614 - 653ms/epoch - 5ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9814 - val_loss: 0.1621 - val_categorical_accuracy: 0.9602 - 717ms/epoch - 5ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.1876 - val_categorical_accuracy: 0.9584 - 717ms/epoch - 5ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1907 - val_categorical_accuracy: 0.9558 - 667ms/epoch - 5ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9833 - val_loss: 0.1707 - val_categorical_accuracy: 0.9594 - 706ms/epoch - 5ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0979 - categorical_accuracy: 0.9717 - val_loss: 0.1716 - val_categorical_accuracy: 0.9569 - 719ms/epoch - 5ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9840 - val_loss: 0.1640 - val_categorical_accuracy: 0.9568 - 733ms/epoch - 5ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9849 - val_loss: 0.1630 - val_categorical_accuracy: 0.9613 - 670ms/epoch - 5ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.1617 - val_categorical_accuracy: 0.9620 - 702ms/epoch - 5ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9821 - val_loss: 0.2063 - val_categorical_accuracy: 0.9550 - 679ms/epoch - 5ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9844 - val_loss: 0.1765 - val_categorical_accuracy: 0.9570 - 654ms/epoch - 5ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1756 - val_categorical_accuracy: 0.9596 - 683ms/epoch - 5ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9842 - val_loss: 0.1791 - val_categorical_accuracy: 0.9579 - 653ms/epoch - 5ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.1026 - categorical_accuracy: 0.9702 - val_loss: 0.1571 - val_categorical_accuracy: 0.9610 - 655ms/epoch - 5ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.1577 - val_categorical_accuracy: 0.9620 - 667ms/epoch - 5ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.2229 - val_categorical_accuracy: 0.9430 - 668ms/epoch - 5ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.1377 - categorical_accuracy: 0.9602 - val_loss: 0.1501 - val_categorical_accuracy: 0.9614 - 634ms/epoch - 4ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9849 - val_loss: 0.1576 - val_categorical_accuracy: 0.9596 - 655ms/epoch - 5ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1638 - val_categorical_accuracy: 0.9598 - 665ms/epoch - 5ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9838 - val_loss: 0.1721 - val_categorical_accuracy: 0.9583 - 638ms/epoch - 5ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.1631 - val_categorical_accuracy: 0.9625 - 668ms/epoch - 5ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9803 - val_loss: 0.1753 - val_categorical_accuracy: 0.9514 - 668ms/epoch - 5ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9848 - val_loss: 0.1770 - val_categorical_accuracy: 0.9555 - 654ms/epoch - 5ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1653 - val_categorical_accuracy: 0.9606 - 669ms/epoch - 5ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.1634 - val_categorical_accuracy: 0.9612 - 652ms/epoch - 5ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.1954 - val_categorical_accuracy: 0.9526 - 636ms/epoch - 5ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9839 - val_loss: 0.1737 - val_categorical_accuracy: 0.9609 - 670ms/epoch - 5ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1675 - val_categorical_accuracy: 0.9595 - 668ms/epoch - 5ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1654 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.1964 - val_categorical_accuracy: 0.9513 - 654ms/epoch - 5ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.2060 - val_categorical_accuracy: 0.9526 - 636ms/epoch - 5ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9839 - val_loss: 0.1743 - val_categorical_accuracy: 0.9597 - 668ms/epoch - 5ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1818 - val_categorical_accuracy: 0.9590 - 637ms/epoch - 5ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1684 - val_categorical_accuracy: 0.9626 - 637ms/epoch - 5ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1854 - val_categorical_accuracy: 0.9568 - 648ms/epoch - 5ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.2204 - val_categorical_accuracy: 0.9513 - 652ms/epoch - 5ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9835 - val_loss: 0.1782 - val_categorical_accuracy: 0.9593 - 641ms/epoch - 5ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9843 - val_loss: 0.2031 - val_categorical_accuracy: 0.9517 - 671ms/epoch - 5ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9841 - val_loss: 0.1832 - val_categorical_accuracy: 0.9587 - 650ms/epoch - 5ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.1756 - val_categorical_accuracy: 0.9589 - 641ms/epoch - 5ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9772 - val_loss: 0.1955 - val_categorical_accuracy: 0.9447 - 812ms/epoch - 6ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9825 - val_loss: 0.1674 - val_categorical_accuracy: 0.9609 - 686ms/epoch - 5ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.1751 - val_categorical_accuracy: 0.9579 - 648ms/epoch - 5ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.1706 - val_categorical_accuracy: 0.9579 - 653ms/epoch - 5ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9730 - val_loss: 0.1596 - val_categorical_accuracy: 0.9601 - 652ms/epoch - 5ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.1695 - val_categorical_accuracy: 0.9590 - 668ms/epoch - 5ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.1629 - val_categorical_accuracy: 0.9612 - 686ms/epoch - 5ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9845 - val_loss: 0.1711 - val_categorical_accuracy: 0.9584 - 655ms/epoch - 5ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.1458 - categorical_accuracy: 0.9570 - val_loss: 0.1865 - val_categorical_accuracy: 0.9462 - 634ms/epoch - 4ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9809 - val_loss: 0.1868 - val_categorical_accuracy: 0.9533 - 654ms/epoch - 5ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9842 - val_loss: 0.1748 - val_categorical_accuracy: 0.9592 - 670ms/epoch - 5ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1718 - val_categorical_accuracy: 0.9548 - 640ms/epoch - 5ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1809 - val_categorical_accuracy: 0.9602 - 667ms/epoch - 5ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.1887 - val_categorical_accuracy: 0.9523 - 656ms/epoch - 5ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1685 - val_categorical_accuracy: 0.9610 - 639ms/epoch - 5ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1842 - val_categorical_accuracy: 0.9558 - 653ms/epoch - 5ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.2062 - val_categorical_accuracy: 0.9502 - 670ms/epoch - 5ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1785 - val_categorical_accuracy: 0.9606 - 669ms/epoch - 5ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9808 - val_loss: 0.1793 - val_categorical_accuracy: 0.9569 - 670ms/epoch - 5ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.1696 - val_categorical_accuracy: 0.9627 - 656ms/epoch - 5ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.1653 - val_categorical_accuracy: 0.9618 - 639ms/epoch - 5ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1693 - val_categorical_accuracy: 0.9621 - 686ms/epoch - 5ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.1774 - val_categorical_accuracy: 0.9598 - 669ms/epoch - 5ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9836 - val_loss: 0.1756 - val_categorical_accuracy: 0.9575 - 638ms/epoch - 5ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.1724 - val_categorical_accuracy: 0.9614 - 654ms/epoch - 5ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9846 - val_loss: 0.1676 - val_categorical_accuracy: 0.9624 - 653ms/epoch - 5ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9857 - val_loss: 0.1698 - val_categorical_accuracy: 0.9627 - 670ms/epoch - 5ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.1100 - categorical_accuracy: 0.9690 - val_loss: 0.1609 - val_categorical_accuracy: 0.9599 - 684ms/epoch - 5ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9851 - val_loss: 0.1612 - val_categorical_accuracy: 0.9619 - 653ms/epoch - 5ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.1786 - val_categorical_accuracy: 0.9612 - 637ms/epoch - 5ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1728 - val_categorical_accuracy: 0.9613 - 662ms/epoch - 5ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9805 - val_loss: 0.1650 - val_categorical_accuracy: 0.9614 - 669ms/epoch - 5ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1737 - val_categorical_accuracy: 0.9623 - 654ms/epoch - 5ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.1801 - val_categorical_accuracy: 0.9614 - 671ms/epoch - 5ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9848 - val_loss: 0.1826 - val_categorical_accuracy: 0.9596 - 637ms/epoch - 5ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1887 - val_categorical_accuracy: 0.9596 - 656ms/epoch - 5ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.1842 - val_categorical_accuracy: 0.9556 - 696ms/epoch - 5ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1935 - val_categorical_accuracy: 0.9540 - 652ms/epoch - 5ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0924 - categorical_accuracy: 0.9733 - val_loss: 0.1669 - val_categorical_accuracy: 0.9601 - 646ms/epoch - 5ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9856 - val_loss: 0.1754 - val_categorical_accuracy: 0.9591 - 653ms/epoch - 5ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 0.1783 - val_categorical_accuracy: 0.9560 - 638ms/epoch - 5ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.1912 - val_categorical_accuracy: 0.9537 - 669ms/epoch - 5ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1762 - val_categorical_accuracy: 0.9606 - 653ms/epoch - 5ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.2012 - val_categorical_accuracy: 0.9522 - 654ms/epoch - 5ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0759 - categorical_accuracy: 0.9770 - val_loss: 0.1646 - val_categorical_accuracy: 0.9607 - 639ms/epoch - 5ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1814 - val_categorical_accuracy: 0.9590 - 653ms/epoch - 5ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.1743 - val_categorical_accuracy: 0.9590 - 639ms/epoch - 5ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1667 - val_categorical_accuracy: 0.9620 - 654ms/epoch - 5ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1708 - val_categorical_accuracy: 0.9601 - 671ms/epoch - 5ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.1760 - val_categorical_accuracy: 0.9619 - 638ms/epoch - 5ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.1702 - val_categorical_accuracy: 0.9608 - 655ms/epoch - 5ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.1723 - val_categorical_accuracy: 0.9608 - 649ms/epoch - 5ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9840 - val_loss: 0.1819 - val_categorical_accuracy: 0.9617 - 651ms/epoch - 5ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.1777 - val_categorical_accuracy: 0.9613 - 686ms/epoch - 5ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9856 - val_loss: 0.1873 - val_categorical_accuracy: 0.9601 - 669ms/epoch - 5ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.1899 - val_categorical_accuracy: 0.9557 - 635ms/epoch - 5ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.1822 - val_categorical_accuracy: 0.9583 - 671ms/epoch - 5ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.1324 - categorical_accuracy: 0.9643 - val_loss: 0.1623 - val_categorical_accuracy: 0.9594 - 685ms/epoch - 5ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9848 - val_loss: 0.1802 - val_categorical_accuracy: 0.9559 - 639ms/epoch - 5ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.1868 - val_categorical_accuracy: 0.9576 - 653ms/epoch - 5ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9857 - val_loss: 0.1713 - val_categorical_accuracy: 0.9621 - 672ms/epoch - 5ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1807 - val_categorical_accuracy: 0.9587 - 654ms/epoch - 5ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1837 - val_categorical_accuracy: 0.9610 - 670ms/epoch - 5ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.1803 - val_categorical_accuracy: 0.9584 - 654ms/epoch - 5ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.1839 - val_categorical_accuracy: 0.9581 - 654ms/epoch - 5ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1921 - val_categorical_accuracy: 0.9571 - 684ms/epoch - 5ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.1838 - val_categorical_accuracy: 0.9607 - 650ms/epoch - 5ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.1774 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.1748 - val_categorical_accuracy: 0.9635 - 669ms/epoch - 5ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1830 - val_categorical_accuracy: 0.9582 - 665ms/epoch - 5ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.1935 - val_categorical_accuracy: 0.9585 - 666ms/epoch - 5ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1795 - val_categorical_accuracy: 0.9589 - 671ms/epoch - 5ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1783 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1783 - val_categorical_accuracy: 0.9612 - 637ms/epoch - 5ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9856 - val_loss: 0.1912 - val_categorical_accuracy: 0.9584 - 687ms/epoch - 5ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9847 - val_loss: 0.1920 - val_categorical_accuracy: 0.9565 - 656ms/epoch - 5ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9839 - val_loss: 0.1955 - val_categorical_accuracy: 0.9584 - 637ms/epoch - 5ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.1878 - val_categorical_accuracy: 0.9607 - 639ms/epoch - 5ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9847 - val_loss: 0.1761 - val_categorical_accuracy: 0.9604 - 638ms/epoch - 5ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.1863 - val_categorical_accuracy: 0.9602 - 686ms/epoch - 5ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1827 - val_categorical_accuracy: 0.9573 - 670ms/epoch - 5ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.1794 - val_categorical_accuracy: 0.9608 - 648ms/epoch - 5ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.1928 - val_categorical_accuracy: 0.9587 - 655ms/epoch - 5ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.1669 - categorical_accuracy: 0.9557 - val_loss: 0.1904 - val_categorical_accuracy: 0.9471 - 656ms/epoch - 5ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9838 - val_loss: 0.1696 - val_categorical_accuracy: 0.9615 - 671ms/epoch - 5ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.1786 - val_categorical_accuracy: 0.9601 - 666ms/epoch - 5ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9854 - val_loss: 0.1753 - val_categorical_accuracy: 0.9613 - 654ms/epoch - 5ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9853 - val_loss: 0.1849 - val_categorical_accuracy: 0.9615 - 638ms/epoch - 5ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.1808 - val_categorical_accuracy: 0.9619 - 638ms/epoch - 5ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.1794 - val_categorical_accuracy: 0.9590 - 702ms/epoch - 5ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1770 - val_categorical_accuracy: 0.9623 - 636ms/epoch - 5ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1852 - val_categorical_accuracy: 0.9568 - 639ms/epoch - 5ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9856 - val_loss: 0.1834 - val_categorical_accuracy: 0.9603 - 655ms/epoch - 5ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9752 - val_loss: 0.1692 - val_categorical_accuracy: 0.9610 - 637ms/epoch - 5ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.1797 - val_categorical_accuracy: 0.9599 - 716ms/epoch - 5ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9863 - val_loss: 0.1789 - val_categorical_accuracy: 0.9604 - 654ms/epoch - 5ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1851 - val_categorical_accuracy: 0.9590 - 639ms/epoch - 5ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.1976 - val_categorical_accuracy: 0.9577 - 652ms/epoch - 5ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1962 - val_categorical_accuracy: 0.9590 - 638ms/epoch - 5ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9855 - val_loss: 0.1822 - val_categorical_accuracy: 0.9588 - 669ms/epoch - 5ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.1288 - categorical_accuracy: 0.9643 - val_loss: 0.2365 - val_categorical_accuracy: 0.9217 - 664ms/epoch - 5ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9794 - val_loss: 0.1728 - val_categorical_accuracy: 0.9602 - 650ms/epoch - 5ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.1814 - val_categorical_accuracy: 0.9591 - 631ms/epoch - 4ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1642 - val_categorical_accuracy: 0.9627 - 654ms/epoch - 5ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9861 - val_loss: 0.1697 - val_categorical_accuracy: 0.9618 - 671ms/epoch - 5ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.1850 - val_categorical_accuracy: 0.9594 - 654ms/epoch - 5ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.1761 - val_categorical_accuracy: 0.9597 - 652ms/epoch - 5ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.1973 - val_categorical_accuracy: 0.9568 - 652ms/epoch - 5ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.1732 - val_categorical_accuracy: 0.9614 - 653ms/epoch - 5ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.1806 - val_categorical_accuracy: 0.9611 - 687ms/epoch - 5ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9859 - val_loss: 0.1748 - val_categorical_accuracy: 0.9618 - 654ms/epoch - 5ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.1845 - val_categorical_accuracy: 0.9593 - 639ms/epoch - 5ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9849 - val_loss: 0.2165 - val_categorical_accuracy: 0.9460 - 650ms/epoch - 5ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1773 - val_categorical_accuracy: 0.9622 - 654ms/epoch - 5ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1827 - val_categorical_accuracy: 0.9603 - 667ms/epoch - 5ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0854 - categorical_accuracy: 0.9752 - val_loss: 0.1873 - val_categorical_accuracy: 0.9558 - 670ms/epoch - 5ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9852 - val_loss: 0.1707 - val_categorical_accuracy: 0.9606 - 638ms/epoch - 5ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1918 - val_categorical_accuracy: 0.9597 - 651ms/epoch - 5ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.1785 - val_categorical_accuracy: 0.9602 - 668ms/epoch - 5ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1773 - val_categorical_accuracy: 0.9612 - 636ms/epoch - 5ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.1888 - val_categorical_accuracy: 0.9600 - 652ms/epoch - 5ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1874 - val_categorical_accuracy: 0.9578 - 685ms/epoch - 5ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1846 - val_categorical_accuracy: 0.9616 - 653ms/epoch - 5ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1930 - val_categorical_accuracy: 0.9592 - 654ms/epoch - 5ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.1519 - categorical_accuracy: 0.9553 - val_loss: 0.1829 - val_categorical_accuracy: 0.9485 - 653ms/epoch - 5ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9818 - val_loss: 0.1724 - val_categorical_accuracy: 0.9585 - 654ms/epoch - 5ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9859 - val_loss: 0.1871 - val_categorical_accuracy: 0.9577 - 687ms/epoch - 5ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2083 - val_categorical_accuracy: 0.9509 - 670ms/epoch - 5ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.1769 - val_categorical_accuracy: 0.9593 - 639ms/epoch - 5ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1746 - val_categorical_accuracy: 0.9625 - 653ms/epoch - 5ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.1880 - val_categorical_accuracy: 0.9599 - 698ms/epoch - 5ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.1869 - val_categorical_accuracy: 0.9607 - 638ms/epoch - 5ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2296 - val_categorical_accuracy: 0.9472 - 654ms/epoch - 5ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9828 - val_loss: 0.1914 - val_categorical_accuracy: 0.9601 - 654ms/epoch - 5ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2175 - val_categorical_accuracy: 0.9532 - 635ms/epoch - 5ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1751 - val_categorical_accuracy: 0.9640 - 651ms/epoch - 5ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1902 - val_categorical_accuracy: 0.9571 - 654ms/epoch - 5ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9849 - val_loss: 0.1836 - val_categorical_accuracy: 0.9608 - 639ms/epoch - 5ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.1817 - val_categorical_accuracy: 0.9627 - 669ms/epoch - 5ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.1872 - val_categorical_accuracy: 0.9618 - 638ms/epoch - 5ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1788 - val_categorical_accuracy: 0.9631 - 671ms/epoch - 5ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1770 - val_categorical_accuracy: 0.9632 - 653ms/epoch - 5ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.1872 - val_categorical_accuracy: 0.9592 - 654ms/epoch - 5ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9859 - val_loss: 0.1845 - val_categorical_accuracy: 0.9597 - 639ms/epoch - 5ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1848 - val_categorical_accuracy: 0.9632 - 671ms/epoch - 5ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9852 - val_loss: 0.1984 - val_categorical_accuracy: 0.9591 - 697ms/epoch - 5ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9856 - val_loss: 0.1799 - val_categorical_accuracy: 0.9627 - 647ms/epoch - 5ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1882 - val_categorical_accuracy: 0.9619 - 667ms/epoch - 5ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.1833 - val_categorical_accuracy: 0.9618 - 669ms/epoch - 5ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1898 - val_categorical_accuracy: 0.9589 - 654ms/epoch - 5ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.1979 - val_categorical_accuracy: 0.9565 - 669ms/epoch - 5ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.2151 - val_categorical_accuracy: 0.9555 - 655ms/epoch - 5ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.1854 - val_categorical_accuracy: 0.9611 - 635ms/epoch - 5ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1941 - val_categorical_accuracy: 0.9598 - 667ms/epoch - 5ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0910 - categorical_accuracy: 0.9752 - val_loss: 0.2175 - val_categorical_accuracy: 0.9348 - 670ms/epoch - 5ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9824 - val_loss: 0.1841 - val_categorical_accuracy: 0.9594 - 652ms/epoch - 5ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9865 - val_loss: 0.1834 - val_categorical_accuracy: 0.9604 - 686ms/epoch - 5ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.1903 - val_categorical_accuracy: 0.9609 - 635ms/epoch - 5ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.1898 - val_categorical_accuracy: 0.9599 - 637ms/epoch - 5ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9765 - val_loss: 0.1754 - val_categorical_accuracy: 0.9599 - 655ms/epoch - 5ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9863 - val_loss: 0.1888 - val_categorical_accuracy: 0.9597 - 667ms/epoch - 5ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9867 - val_loss: 0.2155 - val_categorical_accuracy: 0.9558 - 670ms/epoch - 5ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9863 - val_loss: 0.1822 - val_categorical_accuracy: 0.9608 - 654ms/epoch - 5ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.1874 - val_categorical_accuracy: 0.9597 - 638ms/epoch - 5ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0946 - categorical_accuracy: 0.9735 - val_loss: 0.1603 - val_categorical_accuracy: 0.9629 - 654ms/epoch - 5ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9865 - val_loss: 0.1743 - val_categorical_accuracy: 0.9618 - 672ms/epoch - 5ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.1839 - val_categorical_accuracy: 0.9624 - 656ms/epoch - 5ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.1897 - val_categorical_accuracy: 0.9592 - 654ms/epoch - 5ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1772 - val_categorical_accuracy: 0.9615 - 638ms/epoch - 5ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1840 - val_categorical_accuracy: 0.9608 - 635ms/epoch - 5ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.1762 - val_categorical_accuracy: 0.9617 - 670ms/epoch - 5ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1816 - val_categorical_accuracy: 0.9625 - 681ms/epoch - 5ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1853 - val_categorical_accuracy: 0.9612 - 645ms/epoch - 5ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2060 - val_categorical_accuracy: 0.9562 - 654ms/epoch - 5ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.1837 - val_categorical_accuracy: 0.9611 - 656ms/epoch - 5ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.2068 - categorical_accuracy: 0.9378 - val_loss: 0.1752 - val_categorical_accuracy: 0.9510 - 639ms/epoch - 5ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9820 - val_loss: 0.1845 - val_categorical_accuracy: 0.9567 - 681ms/epoch - 5ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.1840 - val_categorical_accuracy: 0.9603 - 662ms/epoch - 5ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9859 - val_loss: 0.1744 - val_categorical_accuracy: 0.9625 - 637ms/epoch - 5ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.1779 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1685 - val_categorical_accuracy: 0.9635 - 655ms/epoch - 5ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1839 - val_categorical_accuracy: 0.9606 - 667ms/epoch - 5ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1758 - val_categorical_accuracy: 0.9618 - 670ms/epoch - 5ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9815 - val_loss: 0.1839 - val_categorical_accuracy: 0.9575 - 651ms/epoch - 5ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2176 - val_categorical_accuracy: 0.9528 - 639ms/epoch - 5ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1863 - val_categorical_accuracy: 0.9574 - 684ms/epoch - 5ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9867 - val_loss: 0.1965 - val_categorical_accuracy: 0.9563 - 655ms/epoch - 5ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2414 - val_categorical_accuracy: 0.9482 - 654ms/epoch - 5ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1966 - val_categorical_accuracy: 0.9553 - 683ms/epoch - 5ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.1780 - val_categorical_accuracy: 0.9628 - 637ms/epoch - 5ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9866 - val_loss: 0.1814 - val_categorical_accuracy: 0.9628 - 654ms/epoch - 5ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1887 - val_categorical_accuracy: 0.9610 - 669ms/epoch - 5ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2022 - val_categorical_accuracy: 0.9585 - 669ms/epoch - 5ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1876 - val_categorical_accuracy: 0.9618 - 639ms/epoch - 5ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1859 - val_categorical_accuracy: 0.9620 - 655ms/epoch - 5ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1879 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9861 - val_loss: 0.1897 - val_categorical_accuracy: 0.9606 - 671ms/epoch - 5ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1873 - val_categorical_accuracy: 0.9614 - 672ms/epoch - 5ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9788 - val_loss: 0.1936 - val_categorical_accuracy: 0.9585 - 654ms/epoch - 5ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1939 - val_categorical_accuracy: 0.9599 - 669ms/epoch - 5ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1764 - val_categorical_accuracy: 0.9637 - 652ms/epoch - 5ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9866 - val_loss: 0.1953 - val_categorical_accuracy: 0.9611 - 650ms/epoch - 5ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.1938 - val_categorical_accuracy: 0.9615 - 670ms/epoch - 5ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.1977 - val_categorical_accuracy: 0.9597 - 670ms/epoch - 5ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1906 - val_categorical_accuracy: 0.9598 - 635ms/epoch - 5ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0785 - categorical_accuracy: 0.9772 - val_loss: 0.1750 - val_categorical_accuracy: 0.9588 - 653ms/epoch - 5ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.1802 - val_categorical_accuracy: 0.9627 - 652ms/epoch - 5ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.1825 - val_categorical_accuracy: 0.9613 - 669ms/epoch - 5ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1845 - val_categorical_accuracy: 0.9619 - 653ms/epoch - 5ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.1824 - val_categorical_accuracy: 0.9633 - 669ms/epoch - 5ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1942 - val_categorical_accuracy: 0.9612 - 633ms/epoch - 4ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.1855 - val_categorical_accuracy: 0.9608 - 649ms/epoch - 5ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1913 - val_categorical_accuracy: 0.9594 - 650ms/epoch - 5ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1859 - val_categorical_accuracy: 0.9629 - 655ms/epoch - 5ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.1894 - val_categorical_accuracy: 0.9630 - 701ms/epoch - 5ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.1930 - val_categorical_accuracy: 0.9586 - 653ms/epoch - 5ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1872 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.1978 - val_categorical_accuracy: 0.9579 - 652ms/epoch - 5ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.2054 - val_categorical_accuracy: 0.9581 - 904ms/epoch - 6ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9773 - val_loss: 0.1835 - val_categorical_accuracy: 0.9564 - 648ms/epoch - 5ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9869 - val_loss: 0.1872 - val_categorical_accuracy: 0.9574 - 639ms/epoch - 5ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.1804 - val_categorical_accuracy: 0.9627 - 669ms/epoch - 5ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.1806 - val_categorical_accuracy: 0.9623 - 636ms/epoch - 5ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2038 - val_categorical_accuracy: 0.9589 - 682ms/epoch - 5ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1855 - val_categorical_accuracy: 0.9630 - 666ms/epoch - 5ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.1819 - val_categorical_accuracy: 0.9624 - 637ms/epoch - 5ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.1893 - val_categorical_accuracy: 0.9594 - 639ms/epoch - 5ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.1972 - val_categorical_accuracy: 0.9604 - 655ms/epoch - 5ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.1975 - val_categorical_accuracy: 0.9614 - 685ms/epoch - 5ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.1918 - val_categorical_accuracy: 0.9610 - 668ms/epoch - 5ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2013 - val_categorical_accuracy: 0.9615 - 651ms/epoch - 5ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1973 - val_categorical_accuracy: 0.9616 - 622ms/epoch - 4ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1899 - val_categorical_accuracy: 0.9595 - 651ms/epoch - 5ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.2078 - val_categorical_accuracy: 0.9550 - 682ms/epoch - 5ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2289 - val_categorical_accuracy: 0.9513 - 636ms/epoch - 5ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0926 - categorical_accuracy: 0.9740 - val_loss: 0.1887 - val_categorical_accuracy: 0.9590 - 653ms/epoch - 5ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1778 - val_categorical_accuracy: 0.9632 - 670ms/epoch - 5ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1942 - val_categorical_accuracy: 0.9626 - 632ms/epoch - 4ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2019 - val_categorical_accuracy: 0.9576 - 684ms/epoch - 5ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.1992 - val_categorical_accuracy: 0.9582 - 702ms/epoch - 5ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1825 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.1982 - val_categorical_accuracy: 0.9612 - 654ms/epoch - 5ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1916 - val_categorical_accuracy: 0.9618 - 652ms/epoch - 5ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9833 - val_loss: 0.1933 - val_categorical_accuracy: 0.9616 - 654ms/epoch - 5ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.1905 - val_categorical_accuracy: 0.9603 - 671ms/epoch - 5ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.2116 - val_categorical_accuracy: 0.9593 - 686ms/epoch - 5ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9869 - val_loss: 0.1809 - val_categorical_accuracy: 0.9624 - 639ms/epoch - 5ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1870 - val_categorical_accuracy: 0.9627 - 655ms/epoch - 5ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1901 - val_categorical_accuracy: 0.9624 - 656ms/epoch - 5ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9859 - val_loss: 0.1890 - val_categorical_accuracy: 0.9625 - 654ms/epoch - 5ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.1958 - val_categorical_accuracy: 0.9589 - 668ms/epoch - 5ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2032 - val_categorical_accuracy: 0.9586 - 653ms/epoch - 5ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.1932 - val_categorical_accuracy: 0.9609 - 634ms/epoch - 4ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2162 - val_categorical_accuracy: 0.9547 - 655ms/epoch - 5ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9863 - val_loss: 0.1950 - val_categorical_accuracy: 0.9619 - 668ms/epoch - 5ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1944 - val_categorical_accuracy: 0.9624 - 667ms/epoch - 5ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.1892 - val_categorical_accuracy: 0.9607 - 655ms/epoch - 5ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1918 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1918 - val_categorical_accuracy: 0.9625 - 654ms/epoch - 5ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.1014 - categorical_accuracy: 0.9723 - val_loss: 0.1791 - val_categorical_accuracy: 0.9617 - 686ms/epoch - 5ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.1832 - val_categorical_accuracy: 0.9626 - 653ms/epoch - 5ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9873 - val_loss: 0.1933 - val_categorical_accuracy: 0.9611 - 655ms/epoch - 5ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.1953 - val_categorical_accuracy: 0.9587 - 653ms/epoch - 5ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2111 - val_categorical_accuracy: 0.9548 - 638ms/epoch - 5ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1825 - val_categorical_accuracy: 0.9637 - 673ms/epoch - 5ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.1895 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1951 - val_categorical_accuracy: 0.9639 - 653ms/epoch - 5ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1971 - val_categorical_accuracy: 0.9584 - 655ms/epoch - 5ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1993 - val_categorical_accuracy: 0.9612 - 654ms/epoch - 5ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1818 - val_categorical_accuracy: 0.9636 - 639ms/epoch - 5ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.1891 - val_categorical_accuracy: 0.9610 - 665ms/epoch - 5ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.1921 - val_categorical_accuracy: 0.9614 - 655ms/epoch - 5ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2224 - val_categorical_accuracy: 0.9541 - 638ms/epoch - 5ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2067 - val_categorical_accuracy: 0.9605 - 655ms/epoch - 5ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1967 - val_categorical_accuracy: 0.9610 - 650ms/epoch - 5ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.1963 - val_categorical_accuracy: 0.9609 - 636ms/epoch - 5ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2029 - val_categorical_accuracy: 0.9577 - 671ms/epoch - 5ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9866 - val_loss: 0.2043 - val_categorical_accuracy: 0.9613 - 653ms/epoch - 5ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2001 - val_categorical_accuracy: 0.9606 - 666ms/epoch - 5ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2039 - val_categorical_accuracy: 0.9583 - 654ms/epoch - 5ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2054 - val_categorical_accuracy: 0.9611 - 653ms/epoch - 5ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.2162 - categorical_accuracy: 0.9408 - val_loss: 0.3053 - val_categorical_accuracy: 0.8946 - 637ms/epoch - 5ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0974 - categorical_accuracy: 0.9656 - val_loss: 0.1675 - val_categorical_accuracy: 0.9607 - 683ms/epoch - 5ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.1696 - val_categorical_accuracy: 0.9638 - 667ms/epoch - 5ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.1949 - val_categorical_accuracy: 0.9569 - 650ms/epoch - 5ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2187 - val_categorical_accuracy: 0.9521 - 671ms/epoch - 5ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1923 - val_categorical_accuracy: 0.9614 - 653ms/epoch - 5ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1856 - val_categorical_accuracy: 0.9625 - 652ms/epoch - 5ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9873 - val_loss: 0.1921 - val_categorical_accuracy: 0.9591 - 664ms/epoch - 5ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1881 - val_categorical_accuracy: 0.9614 - 639ms/epoch - 5ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1981 - val_categorical_accuracy: 0.9619 - 637ms/epoch - 5ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2097 - val_categorical_accuracy: 0.9564 - 669ms/epoch - 5ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1949 - val_categorical_accuracy: 0.9608 - 699ms/epoch - 5ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9866 - val_loss: 0.2020 - val_categorical_accuracy: 0.9613 - 636ms/epoch - 5ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1836 - val_categorical_accuracy: 0.9625 - 671ms/epoch - 5ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9815 - val_loss: 0.9131 - val_categorical_accuracy: 0.8243 - 635ms/epoch - 5ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9809 - val_loss: 0.1787 - val_categorical_accuracy: 0.9618 - 655ms/epoch - 5ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.1836 - val_categorical_accuracy: 0.9616 - 669ms/epoch - 5ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2008 - val_categorical_accuracy: 0.9586 - 652ms/epoch - 5ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2053 - val_categorical_accuracy: 0.9581 - 653ms/epoch - 5ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1882 - val_categorical_accuracy: 0.9616 - 653ms/epoch - 5ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1910 - val_categorical_accuracy: 0.9619 - 656ms/epoch - 5ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1985 - val_categorical_accuracy: 0.9632 - 671ms/epoch - 5ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2097 - val_categorical_accuracy: 0.9587 - 680ms/epoch - 5ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2148 - val_categorical_accuracy: 0.9588 - 650ms/epoch - 5ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2004 - val_categorical_accuracy: 0.9606 - 653ms/epoch - 5ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1880 - val_categorical_accuracy: 0.9608 - 653ms/epoch - 5ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.1908 - val_categorical_accuracy: 0.9619 - 638ms/epoch - 5ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2007 - val_categorical_accuracy: 0.9606 - 686ms/epoch - 5ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2073 - val_categorical_accuracy: 0.9589 - 667ms/epoch - 5ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0820 - categorical_accuracy: 0.9773 - val_loss: 0.1817 - val_categorical_accuracy: 0.9604 - 635ms/epoch - 5ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1747 - val_categorical_accuracy: 0.9621 - 655ms/epoch - 5ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.1859 - val_categorical_accuracy: 0.9614 - 654ms/epoch - 5ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.1918 - val_categorical_accuracy: 0.9619 - 655ms/epoch - 5ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9877 - val_loss: 0.2093 - val_categorical_accuracy: 0.9587 - 700ms/epoch - 5ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1933 - val_categorical_accuracy: 0.9596 - 666ms/epoch - 5ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1886 - val_categorical_accuracy: 0.9600 - 623ms/epoch - 4ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.1923 - val_categorical_accuracy: 0.9605 - 655ms/epoch - 5ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2342 - val_categorical_accuracy: 0.9539 - 702ms/epoch - 5ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.1289 - categorical_accuracy: 0.9648 - val_loss: 0.1743 - val_categorical_accuracy: 0.9594 - 635ms/epoch - 5ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1738 - val_categorical_accuracy: 0.9628 - 655ms/epoch - 5ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1818 - val_categorical_accuracy: 0.9634 - 653ms/epoch - 5ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1778 - val_categorical_accuracy: 0.9630 - 639ms/epoch - 5ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.1865 - val_categorical_accuracy: 0.9621 - 716ms/epoch - 5ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2079 - val_categorical_accuracy: 0.9590 - 652ms/epoch - 5ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.1920 - val_categorical_accuracy: 0.9622 - 654ms/epoch - 5ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2016 - val_categorical_accuracy: 0.9591 - 668ms/epoch - 5ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1984 - val_categorical_accuracy: 0.9604 - 648ms/epoch - 5ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1945 - val_categorical_accuracy: 0.9629 - 671ms/epoch - 5ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1812 - val_categorical_accuracy: 0.9639 - 670ms/epoch - 5ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.1907 - val_categorical_accuracy: 0.9600 - 655ms/epoch - 5ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9782 - val_loss: 0.1798 - val_categorical_accuracy: 0.9623 - 654ms/epoch - 5ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9877 - val_loss: 0.1892 - val_categorical_accuracy: 0.9633 - 654ms/epoch - 5ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.1831 - val_categorical_accuracy: 0.9636 - 703ms/epoch - 5ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1853 - val_categorical_accuracy: 0.9628 - 656ms/epoch - 5ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2070 - val_categorical_accuracy: 0.9572 - 655ms/epoch - 5ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.1856 - val_categorical_accuracy: 0.9629 - 637ms/epoch - 5ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1964 - val_categorical_accuracy: 0.9616 - 635ms/epoch - 5ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.1954 - val_categorical_accuracy: 0.9611 - 703ms/epoch - 5ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2017 - val_categorical_accuracy: 0.9590 - 637ms/epoch - 5ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.1890 - val_categorical_accuracy: 0.9632 - 636ms/epoch - 5ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1786 - val_categorical_accuracy: 0.9646 - 670ms/epoch - 5ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1883 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2051 - val_categorical_accuracy: 0.9571 - 637ms/epoch - 5ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2006 - val_categorical_accuracy: 0.9594 - 683ms/epoch - 5ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1900 - val_categorical_accuracy: 0.9618 - 654ms/epoch - 5ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2027 - val_categorical_accuracy: 0.9610 - 637ms/epoch - 5ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2023 - val_categorical_accuracy: 0.9593 - 669ms/epoch - 5ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2185 - val_categorical_accuracy: 0.9552 - 670ms/epoch - 5ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.1455 - categorical_accuracy: 0.9604 - val_loss: 0.1819 - val_categorical_accuracy: 0.9597 - 653ms/epoch - 5ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.1724 - val_categorical_accuracy: 0.9625 - 652ms/epoch - 5ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1942 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.1838 - val_categorical_accuracy: 0.9639 - 669ms/epoch - 5ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2013 - val_categorical_accuracy: 0.9604 - 686ms/epoch - 5ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1973 - val_categorical_accuracy: 0.9605 - 638ms/epoch - 5ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2030 - val_categorical_accuracy: 0.9594 - 655ms/epoch - 5ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.1927 - val_categorical_accuracy: 0.9606 - 664ms/epoch - 5ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.1994 - val_categorical_accuracy: 0.9591 - 655ms/epoch - 5ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1942 - val_categorical_accuracy: 0.9628 - 655ms/epoch - 5ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1951 - val_categorical_accuracy: 0.9628 - 652ms/epoch - 5ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.1928 - val_categorical_accuracy: 0.9621 - 667ms/epoch - 5ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.1959 - val_categorical_accuracy: 0.9607 - 654ms/epoch - 5ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2132 - val_categorical_accuracy: 0.9574 - 656ms/epoch - 5ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2109 - val_categorical_accuracy: 0.9589 - 639ms/epoch - 5ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.1959 - val_categorical_accuracy: 0.9618 - 683ms/epoch - 5ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.1016 - categorical_accuracy: 0.9722 - val_loss: 0.1732 - val_categorical_accuracy: 0.9608 - 655ms/epoch - 5ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9863 - val_loss: 0.1829 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.1953 - val_categorical_accuracy: 0.9595 - 652ms/epoch - 5ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.1898 - val_categorical_accuracy: 0.9640 - 636ms/epoch - 5ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1984 - val_categorical_accuracy: 0.9599 - 685ms/epoch - 5ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9863 - val_loss: 0.5066 - val_categorical_accuracy: 0.9071 - 670ms/epoch - 5ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0654 - categorical_accuracy: 0.9797 - val_loss: 0.1887 - val_categorical_accuracy: 0.9596 - 654ms/epoch - 5ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2065 - val_categorical_accuracy: 0.9563 - 637ms/epoch - 5ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.1885 - val_categorical_accuracy: 0.9624 - 664ms/epoch - 5ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2059 - val_categorical_accuracy: 0.9593 - 667ms/epoch - 5ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.1922 - val_categorical_accuracy: 0.9596 - 639ms/epoch - 5ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.1856 - val_categorical_accuracy: 0.9627 - 670ms/epoch - 5ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.1886 - val_categorical_accuracy: 0.9638 - 635ms/epoch - 5ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1888 - val_categorical_accuracy: 0.9630 - 655ms/epoch - 5ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.1896 - val_categorical_accuracy: 0.9617 - 670ms/epoch - 5ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2014 - val_categorical_accuracy: 0.9619 - 653ms/epoch - 5ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2131 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1936 - val_categorical_accuracy: 0.9619 - 670ms/epoch - 5ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2060 - val_categorical_accuracy: 0.9620 - 656ms/epoch - 5ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2042 - val_categorical_accuracy: 0.9595 - 667ms/epoch - 5ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1965 - val_categorical_accuracy: 0.9601 - 655ms/epoch - 5ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2025 - val_categorical_accuracy: 0.9617 - 651ms/epoch - 5ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2001 - val_categorical_accuracy: 0.9594 - 637ms/epoch - 5ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1961 - val_categorical_accuracy: 0.9638 - 656ms/epoch - 5ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2009 - val_categorical_accuracy: 0.9613 - 655ms/epoch - 5ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2157 - val_categorical_accuracy: 0.9613 - 682ms/epoch - 5ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.1920 - val_categorical_accuracy: 0.9621 - 654ms/epoch - 5ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9865 - val_loss: 0.1973 - val_categorical_accuracy: 0.9609 - 639ms/epoch - 5ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0892 - categorical_accuracy: 0.9750 - val_loss: 0.1887 - val_categorical_accuracy: 0.9582 - 654ms/epoch - 5ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1820 - val_categorical_accuracy: 0.9630 - 699ms/epoch - 5ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.1979 - val_categorical_accuracy: 0.9610 - 652ms/epoch - 5ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.1928 - val_categorical_accuracy: 0.9617 - 639ms/epoch - 5ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.1894 - val_categorical_accuracy: 0.9629 - 666ms/epoch - 5ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.1991 - val_categorical_accuracy: 0.9592 - 638ms/epoch - 5ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2115 - val_categorical_accuracy: 0.9568 - 701ms/epoch - 5ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.1994 - val_categorical_accuracy: 0.9588 - 668ms/epoch - 5ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.1993 - val_categorical_accuracy: 0.9623 - 623ms/epoch - 4ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2024 - val_categorical_accuracy: 0.9592 - 664ms/epoch - 5ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9864 - val_loss: 0.4543 - val_categorical_accuracy: 0.9032 - 654ms/epoch - 5ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9805 - val_loss: 0.1859 - val_categorical_accuracy: 0.9627 - 656ms/epoch - 5ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1856 - val_categorical_accuracy: 0.9633 - 669ms/epoch - 5ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.1328 - categorical_accuracy: 0.9651 - val_loss: 0.1973 - val_categorical_accuracy: 0.9458 - 654ms/epoch - 5ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9832 - val_loss: 0.1712 - val_categorical_accuracy: 0.9629 - 636ms/epoch - 5ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9876 - val_loss: 0.1807 - val_categorical_accuracy: 0.9618 - 667ms/epoch - 5ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.1788 - val_categorical_accuracy: 0.9623 - 666ms/epoch - 5ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9882 - val_loss: 0.1880 - val_categorical_accuracy: 0.9623 - 669ms/epoch - 5ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.1826 - val_categorical_accuracy: 0.9652 - 654ms/epoch - 5ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.1895 - val_categorical_accuracy: 0.9627 - 638ms/epoch - 5ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9815 - val_loss: 0.1787 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.1855 - val_categorical_accuracy: 0.9626 - 892ms/epoch - 6ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.1802 - val_categorical_accuracy: 0.9641 - 666ms/epoch - 5ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.1925 - val_categorical_accuracy: 0.9601 - 653ms/epoch - 5ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.1951 - val_categorical_accuracy: 0.9619 - 653ms/epoch - 5ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.1950 - val_categorical_accuracy: 0.9631 - 668ms/epoch - 5ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.1847 - val_categorical_accuracy: 0.9632 - 653ms/epoch - 5ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9874 - val_loss: 0.2070 - val_categorical_accuracy: 0.9614 - 670ms/epoch - 5ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.1957 - val_categorical_accuracy: 0.9605 - 672ms/epoch - 5ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2380 - val_categorical_accuracy: 0.9512 - 638ms/epoch - 5ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1922 - val_categorical_accuracy: 0.9633 - 669ms/epoch - 5ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2599 - val_categorical_accuracy: 0.9466 - 701ms/epoch - 5ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.1127 - categorical_accuracy: 0.9697 - val_loss: 0.1818 - val_categorical_accuracy: 0.9607 - 637ms/epoch - 5ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.1918 - val_categorical_accuracy: 0.9601 - 653ms/epoch - 5ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9877 - val_loss: 0.1910 - val_categorical_accuracy: 0.9635 - 655ms/epoch - 5ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.1872 - val_categorical_accuracy: 0.9635 - 639ms/epoch - 5ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1959 - val_categorical_accuracy: 0.9618 - 684ms/epoch - 5ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.1995 - val_categorical_accuracy: 0.9564 - 681ms/epoch - 5ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2018 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2079 - val_categorical_accuracy: 0.9587 - 652ms/epoch - 5ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2154 - val_categorical_accuracy: 0.9590 - 653ms/epoch - 5ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2022 - val_categorical_accuracy: 0.9575 - 685ms/epoch - 5ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.1925 - val_categorical_accuracy: 0.9639 - 684ms/epoch - 5ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.1895 - val_categorical_accuracy: 0.9640 - 654ms/epoch - 5ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9883 - val_loss: 0.2071 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.1864 - val_categorical_accuracy: 0.9645 - 665ms/epoch - 5ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2032 - val_categorical_accuracy: 0.9589 - 685ms/epoch - 5ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.1938 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2201 - val_categorical_accuracy: 0.9558 - 653ms/epoch - 5ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2078 - val_categorical_accuracy: 0.9604 - 651ms/epoch - 5ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1959 - val_categorical_accuracy: 0.9638 - 640ms/epoch - 5ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.1948 - val_categorical_accuracy: 0.9639 - 684ms/epoch - 5ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2137 - val_categorical_accuracy: 0.9565 - 655ms/epoch - 5ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1969 - val_categorical_accuracy: 0.9621 - 651ms/epoch - 5ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.1993 - val_categorical_accuracy: 0.9625 - 664ms/epoch - 5ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.1997 - val_categorical_accuracy: 0.9621 - 649ms/epoch - 5ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.1996 - val_categorical_accuracy: 0.9627 - 655ms/epoch - 5ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2019 - val_categorical_accuracy: 0.9625 - 700ms/epoch - 5ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2108 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2082 - val_categorical_accuracy: 0.9619 - 649ms/epoch - 5ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2055 - val_categorical_accuracy: 0.9626 - 653ms/epoch - 5ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2057 - val_categorical_accuracy: 0.9597 - 669ms/epoch - 5ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1994 - val_categorical_accuracy: 0.9615 - 636ms/epoch - 5ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2034 - val_categorical_accuracy: 0.9595 - 655ms/epoch - 5ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2125 - val_categorical_accuracy: 0.9603 - 671ms/epoch - 5ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2138 - val_categorical_accuracy: 0.9566 - 656ms/epoch - 5ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0850 - categorical_accuracy: 0.9768 - val_loss: 0.1893 - val_categorical_accuracy: 0.9545 - 638ms/epoch - 5ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1943 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.1914 - val_categorical_accuracy: 0.9618 - 649ms/epoch - 5ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.1929 - val_categorical_accuracy: 0.9637 - 686ms/epoch - 5ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1944 - val_categorical_accuracy: 0.9628 - 636ms/epoch - 5ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1975 - val_categorical_accuracy: 0.9621 - 639ms/epoch - 5ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.1959 - val_categorical_accuracy: 0.9601 - 654ms/epoch - 5ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.1988 - val_categorical_accuracy: 0.9604 - 669ms/epoch - 5ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2052 - val_categorical_accuracy: 0.9607 - 661ms/epoch - 5ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2054 - val_categorical_accuracy: 0.9608 - 654ms/epoch - 5ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2084 - val_categorical_accuracy: 0.9613 - 639ms/epoch - 5ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2425 - val_categorical_accuracy: 0.9563 - 653ms/epoch - 5ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.1997 - val_categorical_accuracy: 0.9609 - 699ms/epoch - 5ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.1891 - val_categorical_accuracy: 0.9631 - 656ms/epoch - 5ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2042 - val_categorical_accuracy: 0.9617 - 655ms/epoch - 5ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2008 - val_categorical_accuracy: 0.9605 - 649ms/epoch - 5ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2023 - val_categorical_accuracy: 0.9624 - 639ms/epoch - 5ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.1956 - val_categorical_accuracy: 0.9619 - 686ms/epoch - 5ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2041 - val_categorical_accuracy: 0.9607 - 653ms/epoch - 5ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2114 - val_categorical_accuracy: 0.9606 - 637ms/epoch - 5ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2017 - val_categorical_accuracy: 0.9629 - 667ms/epoch - 5ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2090 - val_categorical_accuracy: 0.9620 - 703ms/epoch - 5ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2013 - val_categorical_accuracy: 0.9613 - 655ms/epoch - 5ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2803 - val_categorical_accuracy: 0.9535 - 655ms/epoch - 5ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2105 - val_categorical_accuracy: 0.9616 - 653ms/epoch - 5ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2166 - val_categorical_accuracy: 0.9600 - 653ms/epoch - 5ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.2982 - categorical_accuracy: 0.9195 - val_loss: 0.2381 - val_categorical_accuracy: 0.9268 - 682ms/epoch - 5ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9719 - val_loss: 0.1853 - val_categorical_accuracy: 0.9567 - 656ms/epoch - 5ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.1831 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9869 - val_loss: 0.1967 - val_categorical_accuracy: 0.9581 - 655ms/epoch - 5ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2089 - val_categorical_accuracy: 0.9571 - 654ms/epoch - 5ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9874 - val_loss: 0.1949 - val_categorical_accuracy: 0.9603 - 650ms/epoch - 5ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2627 - val_categorical_accuracy: 0.9432 - 669ms/epoch - 5ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9816 - val_loss: 0.1792 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2100 - val_categorical_accuracy: 0.9586 - 636ms/epoch - 5ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2013 - val_categorical_accuracy: 0.9587 - 654ms/epoch - 5ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.1916 - val_categorical_accuracy: 0.9626 - 652ms/epoch - 5ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2155 - val_categorical_accuracy: 0.9598 - 654ms/epoch - 5ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2144 - val_categorical_accuracy: 0.9578 - 656ms/epoch - 5ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.1991 - val_categorical_accuracy: 0.9623 - 670ms/epoch - 5ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0962 - categorical_accuracy: 0.9738 - val_loss: 0.1819 - val_categorical_accuracy: 0.9514 - 653ms/epoch - 5ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.1895 - val_categorical_accuracy: 0.9617 - 652ms/epoch - 5ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.1805 - val_categorical_accuracy: 0.9621 - 652ms/epoch - 5ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1955 - val_categorical_accuracy: 0.9624 - 652ms/epoch - 5ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1876 - val_categorical_accuracy: 0.9623 - 655ms/epoch - 5ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1899 - val_categorical_accuracy: 0.9617 - 667ms/epoch - 5ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9867 - val_loss: 0.2448 - val_categorical_accuracy: 0.9498 - 652ms/epoch - 5ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2082 - val_categorical_accuracy: 0.9565 - 656ms/epoch - 5ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1940 - val_categorical_accuracy: 0.9635 - 639ms/epoch - 5ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9869 - val_loss: 0.2258 - val_categorical_accuracy: 0.9507 - 684ms/epoch - 5ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2269 - val_categorical_accuracy: 0.9545 - 668ms/epoch - 5ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.1980 - val_categorical_accuracy: 0.9624 - 654ms/epoch - 5ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.2162 - val_categorical_accuracy: 0.9557 - 670ms/epoch - 5ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2070 - val_categorical_accuracy: 0.9602 - 670ms/epoch - 5ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1941 - val_categorical_accuracy: 0.9636 - 672ms/epoch - 5ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2138 - val_categorical_accuracy: 0.9594 - 654ms/epoch - 5ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.1971 - val_categorical_accuracy: 0.9605 - 652ms/epoch - 5ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.1979 - val_categorical_accuracy: 0.9608 - 636ms/epoch - 5ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.1937 - val_categorical_accuracy: 0.9640 - 671ms/epoch - 5ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2046 - val_categorical_accuracy: 0.9614 - 685ms/epoch - 5ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2006 - val_categorical_accuracy: 0.9610 - 655ms/epoch - 5ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2026 - val_categorical_accuracy: 0.9628 - 653ms/epoch - 5ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2078 - val_categorical_accuracy: 0.9620 - 655ms/epoch - 5ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1973 - val_categorical_accuracy: 0.9618 - 638ms/epoch - 5ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2038 - val_categorical_accuracy: 0.9612 - 685ms/epoch - 5ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2018 - val_categorical_accuracy: 0.9624 - 666ms/epoch - 5ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.1925 - val_categorical_accuracy: 0.9634 - 639ms/epoch - 5ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2013 - val_categorical_accuracy: 0.9634 - 652ms/epoch - 5ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2062 - val_categorical_accuracy: 0.9602 - 637ms/epoch - 5ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1962 - val_categorical_accuracy: 0.9630 - 669ms/epoch - 5ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2388 - val_categorical_accuracy: 0.9548 - 682ms/epoch - 5ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2013 - val_categorical_accuracy: 0.9596 - 655ms/epoch - 5ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2005 - val_categorical_accuracy: 0.9613 - 639ms/epoch - 5ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2066 - val_categorical_accuracy: 0.9625 - 669ms/epoch - 5ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2014 - val_categorical_accuracy: 0.9616 - 687ms/epoch - 5ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2095 - val_categorical_accuracy: 0.9623 - 637ms/epoch - 5ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2094 - val_categorical_accuracy: 0.9620 - 670ms/epoch - 5ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2145 - val_categorical_accuracy: 0.9588 - 649ms/epoch - 5ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2121 - val_categorical_accuracy: 0.9606 - 654ms/epoch - 5ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.1946 - val_categorical_accuracy: 0.9612 - 699ms/epoch - 5ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2068 - val_categorical_accuracy: 0.9617 - 667ms/epoch - 5ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1991 - val_categorical_accuracy: 0.9636 - 638ms/epoch - 5ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2058 - val_categorical_accuracy: 0.9592 - 654ms/epoch - 5ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2076 - val_categorical_accuracy: 0.9600 - 638ms/epoch - 5ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2001 - val_categorical_accuracy: 0.9638 - 653ms/epoch - 5ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.2338 - val_categorical_accuracy: 0.9578 - 685ms/epoch - 5ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.1193 - categorical_accuracy: 0.9674 - val_loss: 0.1739 - val_categorical_accuracy: 0.9627 - 652ms/epoch - 5ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.1879 - val_categorical_accuracy: 0.9629 - 651ms/epoch - 5ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.2038 - val_categorical_accuracy: 0.9585 - 654ms/epoch - 5ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2006 - val_categorical_accuracy: 0.9621 - 654ms/epoch - 5ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2096 - val_categorical_accuracy: 0.9609 - 701ms/epoch - 5ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.1966 - val_categorical_accuracy: 0.9608 - 667ms/epoch - 5ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.1967 - val_categorical_accuracy: 0.9615 - 654ms/epoch - 5ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2032 - val_categorical_accuracy: 0.9610 - 639ms/epoch - 5ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1968 - val_categorical_accuracy: 0.9606 - 682ms/epoch - 5ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.1991 - val_categorical_accuracy: 0.9629 - 685ms/epoch - 5ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.2034 - val_categorical_accuracy: 0.9627 - 639ms/epoch - 5ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2151 - val_categorical_accuracy: 0.9565 - 668ms/epoch - 5ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2036 - val_categorical_accuracy: 0.9629 - 649ms/epoch - 5ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.1928 - val_categorical_accuracy: 0.9634 - 665ms/epoch - 5ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2083 - val_categorical_accuracy: 0.9620 - 680ms/epoch - 5ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2064 - val_categorical_accuracy: 0.9619 - 638ms/epoch - 5ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2105 - val_categorical_accuracy: 0.9617 - 652ms/epoch - 5ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2087 - val_categorical_accuracy: 0.9623 - 672ms/epoch - 5ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.1307 - categorical_accuracy: 0.9643 - val_loss: 0.1888 - val_categorical_accuracy: 0.9533 - 652ms/epoch - 5ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9849 - val_loss: 0.1783 - val_categorical_accuracy: 0.9646 - 666ms/epoch - 5ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.1882 - val_categorical_accuracy: 0.9633 - 683ms/epoch - 5ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.1933 - val_categorical_accuracy: 0.9609 - 653ms/epoch - 5ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.1864 - val_categorical_accuracy: 0.9636 - 654ms/epoch - 5ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1859 - val_categorical_accuracy: 0.9636 - 669ms/epoch - 5ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.2190 - val_categorical_accuracy: 0.9558 - 684ms/epoch - 5ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.1974 - val_categorical_accuracy: 0.9627 - 653ms/epoch - 5ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2183 - val_categorical_accuracy: 0.9573 - 672ms/epoch - 5ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.1913 - val_categorical_accuracy: 0.9630 - 652ms/epoch - 5ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2402 - val_categorical_accuracy: 0.9541 - 651ms/epoch - 5ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2171 - val_categorical_accuracy: 0.9587 - 701ms/epoch - 5ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2048 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2063 - val_categorical_accuracy: 0.9610 - 655ms/epoch - 5ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0848 - categorical_accuracy: 0.9762 - val_loss: 0.1858 - val_categorical_accuracy: 0.9620 - 670ms/epoch - 5ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1913 - val_categorical_accuracy: 0.9609 - 635ms/epoch - 5ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.1866 - val_categorical_accuracy: 0.9632 - 684ms/epoch - 5ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2103 - val_categorical_accuracy: 0.9545 - 670ms/epoch - 5ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.1981 - val_categorical_accuracy: 0.9595 - 619ms/epoch - 4ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2035 - val_categorical_accuracy: 0.9582 - 654ms/epoch - 5ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.1956 - val_categorical_accuracy: 0.9626 - 654ms/epoch - 5ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2121 - val_categorical_accuracy: 0.9608 - 667ms/epoch - 5ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2049 - val_categorical_accuracy: 0.9617 - 654ms/epoch - 5ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2031 - val_categorical_accuracy: 0.9612 - 669ms/epoch - 5ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2265 - val_categorical_accuracy: 0.9593 - 638ms/epoch - 5ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.1945 - val_categorical_accuracy: 0.9630 - 666ms/epoch - 5ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.3039 - val_categorical_accuracy: 0.9404 - 672ms/epoch - 5ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.1216 - categorical_accuracy: 0.9668 - val_loss: 0.1828 - val_categorical_accuracy: 0.9622 - 654ms/epoch - 5ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.1814 - val_categorical_accuracy: 0.9648 - 668ms/epoch - 5ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9886 - val_loss: 0.1957 - val_categorical_accuracy: 0.9616 - 648ms/epoch - 5ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2008 - val_categorical_accuracy: 0.9616 - 655ms/epoch - 5ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2037 - val_categorical_accuracy: 0.9596 - 669ms/epoch - 5ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2142 - val_categorical_accuracy: 0.9556 - 666ms/epoch - 5ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2098 - val_categorical_accuracy: 0.9622 - 639ms/epoch - 5ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9886 - val_loss: 0.2040 - val_categorical_accuracy: 0.9591 - 653ms/epoch - 5ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.1977 - val_categorical_accuracy: 0.9641 - 655ms/epoch - 5ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2025 - val_categorical_accuracy: 0.9640 - 685ms/epoch - 5ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2316 - val_categorical_accuracy: 0.9548 - 682ms/epoch - 5ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0817 - categorical_accuracy: 0.9773 - val_loss: 0.1828 - val_categorical_accuracy: 0.9632 - 653ms/epoch - 5ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9886 - val_loss: 0.2087 - val_categorical_accuracy: 0.9608 - 656ms/epoch - 5ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.1869 - val_categorical_accuracy: 0.9631 - 685ms/epoch - 5ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2043 - val_categorical_accuracy: 0.9612 - 684ms/epoch - 5ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1984 - val_categorical_accuracy: 0.9645 - 638ms/epoch - 5ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.1970 - val_categorical_accuracy: 0.9616 - 665ms/epoch - 5ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.1994 - val_categorical_accuracy: 0.9640 - 648ms/epoch - 5ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.1952 - val_categorical_accuracy: 0.9609 - 652ms/epoch - 5ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2078 - val_categorical_accuracy: 0.9589 - 685ms/epoch - 5ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9787 - val_loss: 0.1846 - val_categorical_accuracy: 0.9604 - 663ms/epoch - 5ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9882 - val_loss: 0.1902 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.1937 - val_categorical_accuracy: 0.9627 - 651ms/epoch - 5ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.1996 - val_categorical_accuracy: 0.9625 - 667ms/epoch - 5ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.1936 - val_categorical_accuracy: 0.9634 - 653ms/epoch - 5ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2046 - val_categorical_accuracy: 0.9586 - 667ms/epoch - 5ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2162 - val_categorical_accuracy: 0.9585 - 637ms/epoch - 5ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.1940 - val_categorical_accuracy: 0.9617 - 652ms/epoch - 5ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2137 - val_categorical_accuracy: 0.9604 - 685ms/epoch - 5ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2045 - val_categorical_accuracy: 0.9637 - 646ms/epoch - 5ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2096 - val_categorical_accuracy: 0.9590 - 647ms/epoch - 5ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2145 - val_categorical_accuracy: 0.9603 - 665ms/epoch - 5ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2002 - val_categorical_accuracy: 0.9631 - 636ms/epoch - 5ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2021 - val_categorical_accuracy: 0.9632 - 654ms/epoch - 5ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2041 - val_categorical_accuracy: 0.9623 - 685ms/epoch - 5ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2062 - val_categorical_accuracy: 0.9603 - 639ms/epoch - 5ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2219 - val_categorical_accuracy: 0.9573 - 653ms/epoch - 5ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.2092 - val_categorical_accuracy: 0.9608 - 665ms/epoch - 5ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.1983 - val_categorical_accuracy: 0.9635 - 666ms/epoch - 5ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2359 - val_categorical_accuracy: 0.9507 - 696ms/epoch - 5ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.2177 - val_categorical_accuracy: 0.9578 - 664ms/epoch - 5ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2019 - val_categorical_accuracy: 0.9622 - 635ms/epoch - 5ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.1995 - val_categorical_accuracy: 0.9629 - 829ms/epoch - 6ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2022 - val_categorical_accuracy: 0.9632 - 712ms/epoch - 5ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2112 - val_categorical_accuracy: 0.9619 - 647ms/epoch - 5ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2341 - val_categorical_accuracy: 0.9587 - 639ms/epoch - 5ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.1977 - val_categorical_accuracy: 0.9625 - 656ms/epoch - 5ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2104 - val_categorical_accuracy: 0.9628 - 639ms/epoch - 5ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2202 - val_categorical_accuracy: 0.9600 - 683ms/epoch - 5ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2289 - val_categorical_accuracy: 0.9543 - 671ms/epoch - 5ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2040 - val_categorical_accuracy: 0.9629 - 655ms/epoch - 5ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2082 - val_categorical_accuracy: 0.9627 - 638ms/epoch - 5ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2070 - val_categorical_accuracy: 0.9625 - 718ms/epoch - 5ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2149 - val_categorical_accuracy: 0.9618 - 652ms/epoch - 5ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2020 - val_categorical_accuracy: 0.9629 - 638ms/epoch - 5ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2173 - val_categorical_accuracy: 0.9619 - 648ms/epoch - 5ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2154 - val_categorical_accuracy: 0.9603 - 649ms/epoch - 5ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2391 - val_categorical_accuracy: 0.9532 - 701ms/epoch - 5ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9871 - val_loss: 0.2069 - val_categorical_accuracy: 0.9597 - 669ms/epoch - 5ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2108 - val_categorical_accuracy: 0.9609 - 637ms/epoch - 5ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2341 - val_categorical_accuracy: 0.9575 - 652ms/epoch - 5ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2208 - val_categorical_accuracy: 0.9596 - 670ms/epoch - 5ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2011 - val_categorical_accuracy: 0.9648 - 672ms/epoch - 5ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2116 - val_categorical_accuracy: 0.9595 - 666ms/epoch - 5ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2105 - val_categorical_accuracy: 0.9616 - 667ms/epoch - 5ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2084 - val_categorical_accuracy: 0.9640 - 638ms/epoch - 5ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2148 - val_categorical_accuracy: 0.9614 - 654ms/epoch - 5ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2076 - val_categorical_accuracy: 0.9635 - 702ms/epoch - 5ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2182 - val_categorical_accuracy: 0.9605 - 653ms/epoch - 5ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.2223 - categorical_accuracy: 0.9368 - val_loss: 0.1801 - val_categorical_accuracy: 0.9545 - 652ms/epoch - 5ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1891 - val_categorical_accuracy: 0.9589 - 652ms/epoch - 5ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.1915 - val_categorical_accuracy: 0.9636 - 655ms/epoch - 5ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2158 - val_categorical_accuracy: 0.9572 - 686ms/epoch - 5ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.1880 - val_categorical_accuracy: 0.9623 - 651ms/epoch - 5ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.1955 - val_categorical_accuracy: 0.9632 - 638ms/epoch - 5ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.1998 - val_categorical_accuracy: 0.9626 - 650ms/epoch - 5ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2031 - val_categorical_accuracy: 0.9620 - 656ms/epoch - 5ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2374 - val_categorical_accuracy: 0.9525 - 701ms/epoch - 5ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2084 - val_categorical_accuracy: 0.9596 - 656ms/epoch - 5ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9769 - val_loss: 0.1830 - val_categorical_accuracy: 0.9607 - 652ms/epoch - 5ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.1873 - val_categorical_accuracy: 0.9623 - 650ms/epoch - 5ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.1949 - val_categorical_accuracy: 0.9621 - 655ms/epoch - 5ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.2033 - val_categorical_accuracy: 0.9604 - 683ms/epoch - 5ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.1914 - val_categorical_accuracy: 0.9638 - 653ms/epoch - 5ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.1990 - val_categorical_accuracy: 0.9638 - 670ms/epoch - 5ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.1919 - val_categorical_accuracy: 0.9648 - 668ms/epoch - 5ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.1965 - val_categorical_accuracy: 0.9642 - 685ms/epoch - 5ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.1968 - val_categorical_accuracy: 0.9616 - 654ms/epoch - 5ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.1996 - val_categorical_accuracy: 0.9621 - 654ms/epoch - 5ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2127 - val_categorical_accuracy: 0.9606 - 638ms/epoch - 5ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.1988 - val_categorical_accuracy: 0.9630 - 653ms/epoch - 5ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2243 - val_categorical_accuracy: 0.9592 - 668ms/epoch - 5ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2133 - val_categorical_accuracy: 0.9616 - 639ms/epoch - 5ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.2061 - val_categorical_accuracy: 0.9625 - 653ms/epoch - 5ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2013 - val_categorical_accuracy: 0.9630 - 664ms/epoch - 5ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.1375 - categorical_accuracy: 0.9618 - val_loss: 0.1823 - val_categorical_accuracy: 0.9555 - 639ms/epoch - 5ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1749 - val_categorical_accuracy: 0.9645 - 684ms/epoch - 5ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.1858 - val_categorical_accuracy: 0.9633 - 668ms/epoch - 5ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.1840 - val_categorical_accuracy: 0.9632 - 638ms/epoch - 5ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9886 - val_loss: 0.1990 - val_categorical_accuracy: 0.9613 - 671ms/epoch - 5ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.1958 - val_categorical_accuracy: 0.9624 - 652ms/epoch - 5ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2042 - val_categorical_accuracy: 0.9637 - 683ms/epoch - 5ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9891 - val_loss: 0.1968 - val_categorical_accuracy: 0.9648 - 686ms/epoch - 5ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2116 - val_categorical_accuracy: 0.9621 - 669ms/epoch - 5ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2039 - val_categorical_accuracy: 0.9625 - 652ms/epoch - 5ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2049 - val_categorical_accuracy: 0.9625 - 670ms/epoch - 5ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.1975 - val_categorical_accuracy: 0.9626 - 684ms/epoch - 5ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2005 - val_categorical_accuracy: 0.9638 - 638ms/epoch - 5ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1988 - val_categorical_accuracy: 0.9621 - 653ms/epoch - 5ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2243 - val_categorical_accuracy: 0.9594 - 655ms/epoch - 5ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2034 - val_categorical_accuracy: 0.9625 - 657ms/epoch - 5ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.1991 - val_categorical_accuracy: 0.9623 - 653ms/epoch - 5ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2081 - val_categorical_accuracy: 0.9604 - 654ms/epoch - 5ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2087 - val_categorical_accuracy: 0.9615 - 650ms/epoch - 5ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2048 - val_categorical_accuracy: 0.9636 - 654ms/epoch - 5ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9885 - val_loss: 0.2173 - val_categorical_accuracy: 0.9596 - 670ms/epoch - 5ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2049 - val_categorical_accuracy: 0.9623 - 681ms/epoch - 5ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2074 - val_categorical_accuracy: 0.9616 - 655ms/epoch - 5ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2265 - val_categorical_accuracy: 0.9554 - 637ms/epoch - 5ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.3241 - categorical_accuracy: 0.9078 - val_loss: 0.1845 - val_categorical_accuracy: 0.9542 - 638ms/epoch - 5ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9829 - val_loss: 0.1814 - val_categorical_accuracy: 0.9600 - 670ms/epoch - 5ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.1952 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9877 - val_loss: 0.1961 - val_categorical_accuracy: 0.9622 - 639ms/epoch - 5ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9882 - val_loss: 0.1930 - val_categorical_accuracy: 0.9618 - 652ms/epoch - 5ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.1954 - val_categorical_accuracy: 0.9635 - 651ms/epoch - 5ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2021 - val_categorical_accuracy: 0.9610 - 655ms/epoch - 5ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2005 - val_categorical_accuracy: 0.9610 - 654ms/epoch - 5ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2180 - val_categorical_accuracy: 0.9581 - 639ms/epoch - 5ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9868 - val_loss: 0.2011 - val_categorical_accuracy: 0.9626 - 667ms/epoch - 5ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.1974 - val_categorical_accuracy: 0.9643 - 669ms/epoch - 5ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.1969 - val_categorical_accuracy: 0.9631 - 639ms/epoch - 5ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2022 - val_categorical_accuracy: 0.9621 - 670ms/epoch - 5ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2112 - val_categorical_accuracy: 0.9616 - 652ms/epoch - 5ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9890 - val_loss: 0.2057 - val_categorical_accuracy: 0.9620 - 655ms/epoch - 5ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2199 - val_categorical_accuracy: 0.9568 - 670ms/epoch - 5ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2009 - val_categorical_accuracy: 0.9622 - 655ms/epoch - 5ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9837 - val_loss: 0.2118 - val_categorical_accuracy: 0.9594 - 637ms/epoch - 5ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2071 - val_categorical_accuracy: 0.9598 - 698ms/epoch - 5ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2028 - val_categorical_accuracy: 0.9629 - 651ms/epoch - 5ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2059 - val_categorical_accuracy: 0.9620 - 638ms/epoch - 5ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.1981 - val_categorical_accuracy: 0.9622 - 668ms/epoch - 5ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9878 - val_loss: 0.2224 - val_categorical_accuracy: 0.9580 - 655ms/epoch - 5ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.1971 - val_categorical_accuracy: 0.9630 - 653ms/epoch - 5ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2070 - val_categorical_accuracy: 0.9618 - 669ms/epoch - 5ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2037 - val_categorical_accuracy: 0.9599 - 653ms/epoch - 5ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2041 - val_categorical_accuracy: 0.9630 - 638ms/epoch - 5ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2016 - val_categorical_accuracy: 0.9640 - 669ms/epoch - 5ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2040 - val_categorical_accuracy: 0.9628 - 698ms/epoch - 5ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2152 - val_categorical_accuracy: 0.9605 - 653ms/epoch - 5ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2240 - val_categorical_accuracy: 0.9587 - 652ms/epoch - 5ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2119 - val_categorical_accuracy: 0.9608 - 653ms/epoch - 5ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2369 - val_categorical_accuracy: 0.9521 - 637ms/epoch - 5ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2150 - val_categorical_accuracy: 0.9579 - 720ms/epoch - 5ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2233 - val_categorical_accuracy: 0.9556 - 651ms/epoch - 5ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2362 - val_categorical_accuracy: 0.9574 - 635ms/epoch - 5ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2233 - val_categorical_accuracy: 0.9604 - 669ms/epoch - 5ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2367 - val_categorical_accuracy: 0.9599 - 654ms/epoch - 5ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2147 - val_categorical_accuracy: 0.9616 - 670ms/epoch - 5ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2087 - val_categorical_accuracy: 0.9623 - 671ms/epoch - 5ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2258 - val_categorical_accuracy: 0.9599 - 636ms/epoch - 5ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2092 - val_categorical_accuracy: 0.9618 - 636ms/epoch - 5ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2118 - val_categorical_accuracy: 0.9600 - 656ms/epoch - 5ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2179 - val_categorical_accuracy: 0.9596 - 670ms/epoch - 5ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2101 - val_categorical_accuracy: 0.9626 - 683ms/epoch - 5ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2092 - val_categorical_accuracy: 0.9627 - 668ms/epoch - 5ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2062 - val_categorical_accuracy: 0.9646 - 639ms/epoch - 5ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2161 - val_categorical_accuracy: 0.9606 - 654ms/epoch - 5ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2208 - val_categorical_accuracy: 0.9613 - 720ms/epoch - 5ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2160 - val_categorical_accuracy: 0.9609 - 656ms/epoch - 5ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2184 - val_categorical_accuracy: 0.9604 - 651ms/epoch - 5ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2162 - val_categorical_accuracy: 0.9628 - 651ms/epoch - 5ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2314 - val_categorical_accuracy: 0.9581 - 654ms/epoch - 5ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2291 - val_categorical_accuracy: 0.9618 - 717ms/epoch - 5ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2145 - val_categorical_accuracy: 0.9626 - 684ms/epoch - 5ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2112 - val_categorical_accuracy: 0.9619 - 655ms/epoch - 5ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9783 - val_loss: 0.1938 - val_categorical_accuracy: 0.9589 - 651ms/epoch - 5ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2124 - val_categorical_accuracy: 0.9611 - 671ms/epoch - 5ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2348 - val_categorical_accuracy: 0.9520 - 687ms/epoch - 5ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9870 - val_loss: 0.2003 - val_categorical_accuracy: 0.9641 - 638ms/epoch - 5ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2024 - val_categorical_accuracy: 0.9638 - 667ms/epoch - 5ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2005 - val_categorical_accuracy: 0.9611 - 651ms/epoch - 5ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2138 - val_categorical_accuracy: 0.9613 - 633ms/epoch - 4ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2140 - val_categorical_accuracy: 0.9610 - 662ms/epoch - 5ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2141 - val_categorical_accuracy: 0.9605 - 669ms/epoch - 5ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2419 - val_categorical_accuracy: 0.9587 - 663ms/epoch - 5ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9886 - val_loss: 0.2035 - val_categorical_accuracy: 0.9626 - 654ms/epoch - 5ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2109 - val_categorical_accuracy: 0.9625 - 638ms/epoch - 5ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2043 - val_categorical_accuracy: 0.9643 - 713ms/epoch - 5ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2416 - val_categorical_accuracy: 0.9584 - 671ms/epoch - 5ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2077 - val_categorical_accuracy: 0.9641 - 637ms/epoch - 5ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2051 - val_categorical_accuracy: 0.9643 - 650ms/epoch - 5ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2067 - val_categorical_accuracy: 0.9639 - 669ms/epoch - 5ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2108 - val_categorical_accuracy: 0.9625 - 670ms/epoch - 5ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2194 - val_categorical_accuracy: 0.9611 - 668ms/epoch - 5ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2235 - val_categorical_accuracy: 0.9617 - 686ms/epoch - 5ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2097 - val_categorical_accuracy: 0.9602 - 656ms/epoch - 5ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2237 - val_categorical_accuracy: 0.9596 - 660ms/epoch - 5ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.1320 - categorical_accuracy: 0.9688 - val_loss: 0.3298 - val_categorical_accuracy: 0.8904 - 716ms/epoch - 5ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9751 - val_loss: 0.1980 - val_categorical_accuracy: 0.9571 - 651ms/epoch - 5ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.1928 - val_categorical_accuracy: 0.9646 - 655ms/epoch - 5ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9891 - val_loss: 0.1987 - val_categorical_accuracy: 0.9627 - 656ms/epoch - 5ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2057 - val_categorical_accuracy: 0.9623 - 651ms/epoch - 5ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2089 - val_categorical_accuracy: 0.9616 - 668ms/epoch - 5ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.1982 - val_categorical_accuracy: 0.9618 - 668ms/epoch - 5ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2039 - val_categorical_accuracy: 0.9626 - 638ms/epoch - 5ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2146 - val_categorical_accuracy: 0.9634 - 670ms/epoch - 5ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2007 - val_categorical_accuracy: 0.9635 - 686ms/epoch - 5ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2205 - val_categorical_accuracy: 0.9623 - 652ms/epoch - 5ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0779 - categorical_accuracy: 0.9788 - val_loss: 0.1976 - val_categorical_accuracy: 0.9625 - 638ms/epoch - 5ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9890 - val_loss: 0.1946 - val_categorical_accuracy: 0.9643 - 653ms/epoch - 5ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.1986 - val_categorical_accuracy: 0.9633 - 650ms/epoch - 5ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.1980 - val_categorical_accuracy: 0.9632 - 682ms/epoch - 5ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2000 - val_categorical_accuracy: 0.9638 - 671ms/epoch - 5ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2126 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2297 - val_categorical_accuracy: 0.9596 - 653ms/epoch - 5ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2035 - val_categorical_accuracy: 0.9612 - 667ms/epoch - 5ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2116 - val_categorical_accuracy: 0.9619 - 685ms/epoch - 5ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2209 - val_categorical_accuracy: 0.9560 - 669ms/epoch - 5ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2066 - val_categorical_accuracy: 0.9636 - 672ms/epoch - 5ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2254 - val_categorical_accuracy: 0.9574 - 648ms/epoch - 5ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2366 - val_categorical_accuracy: 0.9594 - 664ms/epoch - 5ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2019 - val_categorical_accuracy: 0.9634 - 699ms/epoch - 5ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2286 - val_categorical_accuracy: 0.9580 - 640ms/epoch - 5ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2176 - val_categorical_accuracy: 0.9620 - 653ms/epoch - 5ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2142 - val_categorical_accuracy: 0.9640 - 678ms/epoch - 5ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2079 - val_categorical_accuracy: 0.9632 - 653ms/epoch - 5ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2041 - val_categorical_accuracy: 0.9643 - 685ms/epoch - 5ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2169 - val_categorical_accuracy: 0.9631 - 652ms/epoch - 5ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2157 - val_categorical_accuracy: 0.9617 - 638ms/epoch - 5ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2078 - val_categorical_accuracy: 0.9627 - 665ms/epoch - 5ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2178 - val_categorical_accuracy: 0.9614 - 656ms/epoch - 5ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2450 - val_categorical_accuracy: 0.9577 - 654ms/epoch - 5ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2129 - val_categorical_accuracy: 0.9621 - 685ms/epoch - 5ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2140 - val_categorical_accuracy: 0.9629 - 653ms/epoch - 5ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9883 - val_loss: 0.2085 - val_categorical_accuracy: 0.9622 - 638ms/epoch - 5ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.1379 - categorical_accuracy: 0.9631 - val_loss: 0.1869 - val_categorical_accuracy: 0.9541 - 670ms/epoch - 5ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.2123 - val_categorical_accuracy: 0.9557 - 686ms/epoch - 5ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9843 - val_loss: 0.1911 - val_categorical_accuracy: 0.9619 - 639ms/epoch - 5ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2038 - val_categorical_accuracy: 0.9612 - 681ms/epoch - 5ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.1990 - val_categorical_accuracy: 0.9626 - 666ms/epoch - 5ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2099 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.1973 - val_categorical_accuracy: 0.9640 - 682ms/epoch - 5ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2158 - val_categorical_accuracy: 0.9610 - 655ms/epoch - 5ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2491 - val_categorical_accuracy: 0.9571 - 637ms/epoch - 5ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2005 - val_categorical_accuracy: 0.9632 - 669ms/epoch - 5ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2166 - val_categorical_accuracy: 0.9599 - 684ms/epoch - 5ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2073 - val_categorical_accuracy: 0.9634 - 652ms/epoch - 5ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2124 - val_categorical_accuracy: 0.9627 - 667ms/epoch - 5ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2114 - val_categorical_accuracy: 0.9631 - 671ms/epoch - 5ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2198 - val_categorical_accuracy: 0.9621 - 654ms/epoch - 5ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2132 - val_categorical_accuracy: 0.9619 - 701ms/epoch - 5ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2320 - val_categorical_accuracy: 0.9601 - 654ms/epoch - 5ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2139 - val_categorical_accuracy: 0.9620 - 639ms/epoch - 5ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2296 - val_categorical_accuracy: 0.9583 - 669ms/epoch - 5ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9892 - val_loss: 0.2191 - val_categorical_accuracy: 0.9584 - 653ms/epoch - 5ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2235 - val_categorical_accuracy: 0.9606 - 682ms/epoch - 5ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2161 - val_categorical_accuracy: 0.9615 - 653ms/epoch - 5ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9880 - val_loss: 0.2203 - val_categorical_accuracy: 0.9620 - 651ms/epoch - 5ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2044 - val_categorical_accuracy: 0.9633 - 653ms/epoch - 5ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2300 - val_categorical_accuracy: 0.9594 - 828ms/epoch - 6ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9892 - val_loss: 0.2116 - val_categorical_accuracy: 0.9624 - 685ms/epoch - 5ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2114 - val_categorical_accuracy: 0.9597 - 637ms/epoch - 5ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2254 - val_categorical_accuracy: 0.9617 - 666ms/epoch - 5ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2097 - val_categorical_accuracy: 0.9627 - 663ms/epoch - 5ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2138 - val_categorical_accuracy: 0.9619 - 648ms/epoch - 5ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2222 - val_categorical_accuracy: 0.9609 - 680ms/epoch - 5ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2264 - val_categorical_accuracy: 0.9608 - 667ms/epoch - 5ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2239 - val_categorical_accuracy: 0.9611 - 650ms/epoch - 5ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2171 - val_categorical_accuracy: 0.9627 - 647ms/epoch - 5ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2338 - val_categorical_accuracy: 0.9597 - 667ms/epoch - 5ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2237 - val_categorical_accuracy: 0.9625 - 653ms/epoch - 5ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2124 - val_categorical_accuracy: 0.9640 - 652ms/epoch - 5ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2285 - val_categorical_accuracy: 0.9614 - 660ms/epoch - 5ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2405 - val_categorical_accuracy: 0.9600 - 635ms/epoch - 5ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2288 - val_categorical_accuracy: 0.9598 - 655ms/epoch - 5ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2154 - val_categorical_accuracy: 0.9614 - 671ms/epoch - 5ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2248 - val_categorical_accuracy: 0.9594 - 668ms/epoch - 5ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2632 - val_categorical_accuracy: 0.9507 - 667ms/epoch - 5ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2236 - val_categorical_accuracy: 0.9598 - 653ms/epoch - 5ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2356 - val_categorical_accuracy: 0.9625 - 636ms/epoch - 5ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2235 - val_categorical_accuracy: 0.9610 - 669ms/epoch - 5ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2210 - val_categorical_accuracy: 0.9630 - 670ms/epoch - 5ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2126 - val_categorical_accuracy: 0.9633 - 637ms/epoch - 5ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2303 - val_categorical_accuracy: 0.9621 - 683ms/epoch - 5ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2194 - val_categorical_accuracy: 0.9607 - 655ms/epoch - 5ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2162 - val_categorical_accuracy: 0.9643 - 655ms/epoch - 5ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2200 - val_categorical_accuracy: 0.9619 - 718ms/epoch - 5ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2213 - val_categorical_accuracy: 0.9615 - 671ms/epoch - 5ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2178 - val_categorical_accuracy: 0.9629 - 637ms/epoch - 5ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2244 - val_categorical_accuracy: 0.9605 - 667ms/epoch - 5ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2162 - val_categorical_accuracy: 0.9633 - 655ms/epoch - 5ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2366 - val_categorical_accuracy: 0.9614 - 650ms/epoch - 5ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2219 - val_categorical_accuracy: 0.9600 - 686ms/epoch - 5ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2203 - val_categorical_accuracy: 0.9626 - 654ms/epoch - 5ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2145 - val_categorical_accuracy: 0.9636 - 652ms/epoch - 5ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2282 - val_categorical_accuracy: 0.9626 - 664ms/epoch - 5ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2243 - val_categorical_accuracy: 0.9617 - 666ms/epoch - 5ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2327 - val_categorical_accuracy: 0.9607 - 647ms/epoch - 5ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2262 - val_categorical_accuracy: 0.9620 - 651ms/epoch - 5ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9882 - val_loss: 0.2246 - val_categorical_accuracy: 0.9620 - 653ms/epoch - 5ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2414 - val_categorical_accuracy: 0.9587 - 637ms/epoch - 5ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2238 - val_categorical_accuracy: 0.9605 - 685ms/epoch - 5ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2225 - val_categorical_accuracy: 0.9634 - 655ms/epoch - 5ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9893 - val_loss: 0.2280 - val_categorical_accuracy: 0.9617 - 648ms/epoch - 5ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2175 - val_categorical_accuracy: 0.9637 - 671ms/epoch - 5ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2408 - val_categorical_accuracy: 0.9592 - 651ms/epoch - 5ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9886 - val_loss: 0.2482 - val_categorical_accuracy: 0.9563 - 671ms/epoch - 5ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2286 - val_categorical_accuracy: 0.9607 - 654ms/epoch - 5ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2189 - val_categorical_accuracy: 0.9626 - 655ms/epoch - 5ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2273 - val_categorical_accuracy: 0.9633 - 650ms/epoch - 5ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2250 - val_categorical_accuracy: 0.9619 - 669ms/epoch - 5ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2721 - val_categorical_accuracy: 0.9570 - 672ms/epoch - 5ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2222 - val_categorical_accuracy: 0.9627 - 639ms/epoch - 5ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2221 - val_categorical_accuracy: 0.9626 - 655ms/epoch - 5ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2315 - val_categorical_accuracy: 0.9603 - 654ms/epoch - 5ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2246 - val_categorical_accuracy: 0.9627 - 653ms/epoch - 5ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2245 - val_categorical_accuracy: 0.9613 - 671ms/epoch - 5ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9882 - val_loss: 4.0887 - val_categorical_accuracy: 0.6623 - 650ms/epoch - 5ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.1707 - categorical_accuracy: 0.9546 - val_loss: 0.2029 - val_categorical_accuracy: 0.9589 - 670ms/epoch - 5ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2003 - val_categorical_accuracy: 0.9632 - 656ms/epoch - 5ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2239 - val_categorical_accuracy: 0.9594 - 653ms/epoch - 5ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2018 - val_categorical_accuracy: 0.9633 - 650ms/epoch - 5ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9897 - val_loss: 0.2070 - val_categorical_accuracy: 0.9634 - 702ms/epoch - 5ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2089 - val_categorical_accuracy: 0.9643 - 639ms/epoch - 5ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2092 - val_categorical_accuracy: 0.9641 - 653ms/epoch - 5ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2173 - val_categorical_accuracy: 0.9626 - 667ms/epoch - 5ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2267 - val_categorical_accuracy: 0.9575 - 637ms/epoch - 5ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2254 - val_categorical_accuracy: 0.9623 - 688ms/epoch - 5ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2147 - val_categorical_accuracy: 0.9643 - 638ms/epoch - 5ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2301 - val_categorical_accuracy: 0.9615 - 649ms/epoch - 5ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2176 - val_categorical_accuracy: 0.9641 - 666ms/epoch - 5ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2168 - val_categorical_accuracy: 0.9620 - 655ms/epoch - 5ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2218 - val_categorical_accuracy: 0.9619 - 656ms/epoch - 5ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2201 - val_categorical_accuracy: 0.9607 - 669ms/epoch - 5ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2228 - val_categorical_accuracy: 0.9618 - 653ms/epoch - 5ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2292 - val_categorical_accuracy: 0.9597 - 652ms/epoch - 5ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2205 - val_categorical_accuracy: 0.9636 - 647ms/epoch - 5ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2197 - val_categorical_accuracy: 0.9644 - 680ms/epoch - 5ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2149 - val_categorical_accuracy: 0.9636 - 651ms/epoch - 5ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2407 - val_categorical_accuracy: 0.9552 - 666ms/epoch - 5ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.1328 - categorical_accuracy: 0.9636 - val_loss: 0.1986 - val_categorical_accuracy: 0.9621 - 664ms/epoch - 5ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.1998 - val_categorical_accuracy: 0.9631 - 651ms/epoch - 5ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9895 - val_loss: 0.2229 - val_categorical_accuracy: 0.9596 - 687ms/epoch - 5ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2292 - val_categorical_accuracy: 0.9610 - 655ms/epoch - 5ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.1994 - val_categorical_accuracy: 0.9634 - 653ms/epoch - 5ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2115 - val_categorical_accuracy: 0.9640 - 668ms/epoch - 5ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2069 - val_categorical_accuracy: 0.9625 - 652ms/epoch - 5ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2212 - val_categorical_accuracy: 0.9625 - 669ms/epoch - 5ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2165 - val_categorical_accuracy: 0.9629 - 663ms/epoch - 5ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2130 - val_categorical_accuracy: 0.9641 - 634ms/epoch - 4ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2232 - val_categorical_accuracy: 0.9630 - 638ms/epoch - 5ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9897 - val_loss: 0.2239 - val_categorical_accuracy: 0.9598 - 654ms/epoch - 5ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2206 - val_categorical_accuracy: 0.9613 - 670ms/epoch - 5ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2178 - val_categorical_accuracy: 0.9617 - 669ms/epoch - 5ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2430 - val_categorical_accuracy: 0.9551 - 670ms/epoch - 5ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2226 - val_categorical_accuracy: 0.9632 - 639ms/epoch - 5ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2309 - val_categorical_accuracy: 0.9604 - 653ms/epoch - 5ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2201 - val_categorical_accuracy: 0.9620 - 685ms/epoch - 5ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9896 - val_loss: 0.2213 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2306 - val_categorical_accuracy: 0.9615 - 653ms/epoch - 5ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2202 - val_categorical_accuracy: 0.9635 - 653ms/epoch - 5ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2202 - val_categorical_accuracy: 0.9625 - 639ms/epoch - 5ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2282 - val_categorical_accuracy: 0.9622 - 669ms/epoch - 5ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2171 - val_categorical_accuracy: 0.9626 - 699ms/epoch - 5ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2252 - val_categorical_accuracy: 0.9592 - 653ms/epoch - 5ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2423 - val_categorical_accuracy: 0.9582 - 653ms/epoch - 5ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2285 - val_categorical_accuracy: 0.9626 - 652ms/epoch - 5ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2336 - val_categorical_accuracy: 0.9600 - 669ms/epoch - 5ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2368 - val_categorical_accuracy: 0.9618 - 668ms/epoch - 5ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2200 - val_categorical_accuracy: 0.9621 - 654ms/epoch - 5ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2389 - val_categorical_accuracy: 0.9560 - 623ms/epoch - 4ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2193 - val_categorical_accuracy: 0.9636 - 654ms/epoch - 5ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2312 - val_categorical_accuracy: 0.9604 - 719ms/epoch - 5ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2180 - val_categorical_accuracy: 0.9642 - 635ms/epoch - 5ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2259 - val_categorical_accuracy: 0.9632 - 670ms/epoch - 5ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2324 - val_categorical_accuracy: 0.9605 - 671ms/epoch - 5ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2470 - val_categorical_accuracy: 0.9607 - 653ms/epoch - 5ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2354 - val_categorical_accuracy: 0.9618 - 682ms/epoch - 5ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2320 - val_categorical_accuracy: 0.9612 - 653ms/epoch - 5ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2351 - val_categorical_accuracy: 0.9608 - 637ms/epoch - 5ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.1664 - categorical_accuracy: 0.9549 - val_loss: 0.1938 - val_categorical_accuracy: 0.9573 - 668ms/epoch - 5ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.1934 - val_categorical_accuracy: 0.9628 - 686ms/epoch - 5ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9893 - val_loss: 0.2122 - val_categorical_accuracy: 0.9613 - 668ms/epoch - 5ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2368 - val_categorical_accuracy: 0.9574 - 654ms/epoch - 5ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2284 - val_categorical_accuracy: 0.9611 - 652ms/epoch - 5ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9867 - val_loss: 0.2084 - val_categorical_accuracy: 0.9639 - 638ms/epoch - 5ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9896 - val_loss: 0.2201 - val_categorical_accuracy: 0.9614 - 686ms/epoch - 5ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2126 - val_categorical_accuracy: 0.9640 - 654ms/epoch - 5ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2184 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9893 - val_loss: 0.2147 - val_categorical_accuracy: 0.9642 - 653ms/epoch - 5ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2165 - val_categorical_accuracy: 0.9627 - 652ms/epoch - 5ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2157 - val_categorical_accuracy: 0.9638 - 653ms/epoch - 5ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2778 - val_categorical_accuracy: 0.9477 - 652ms/epoch - 5ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9795 - val_loss: 0.1967 - val_categorical_accuracy: 0.9631 - 652ms/epoch - 5ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9894 - val_loss: 0.1958 - val_categorical_accuracy: 0.9642 - 651ms/epoch - 5ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2227 - val_categorical_accuracy: 0.9610 - 655ms/epoch - 5ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2154 - val_categorical_accuracy: 0.9628 - 686ms/epoch - 5ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2334 - val_categorical_accuracy: 0.9604 - 654ms/epoch - 5ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2090 - val_categorical_accuracy: 0.9632 - 653ms/epoch - 5ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9897 - val_loss: 0.2055 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9900 - val_loss: 0.2198 - val_categorical_accuracy: 0.9627 - 637ms/epoch - 5ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9898 - val_loss: 0.2195 - val_categorical_accuracy: 0.9610 - 701ms/epoch - 5ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2128 - val_categorical_accuracy: 0.9641 - 637ms/epoch - 5ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2519 - val_categorical_accuracy: 0.9568 - 638ms/epoch - 5ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2079 - val_categorical_accuracy: 0.9646 - 670ms/epoch - 5ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2225 - val_categorical_accuracy: 0.9629 - 637ms/epoch - 5ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2314 - val_categorical_accuracy: 0.9599 - 666ms/epoch - 5ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2094 - val_categorical_accuracy: 0.9640 - 653ms/epoch - 5ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0268 - categorical_accuracy: 0.9899 - val_loss: 0.2252 - val_categorical_accuracy: 0.9632 - 639ms/epoch - 5ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9900 - val_loss: 0.2231 - val_categorical_accuracy: 0.9618 - 650ms/epoch - 5ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2309 - val_categorical_accuracy: 0.9592 - 652ms/epoch - 5ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2296 - val_categorical_accuracy: 0.9618 - 669ms/epoch - 5ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2313 - val_categorical_accuracy: 0.9618 - 652ms/epoch - 5ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2200 - val_categorical_accuracy: 0.9629 - 655ms/epoch - 5ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2347 - val_categorical_accuracy: 0.9614 - 637ms/epoch - 5ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2253 - val_categorical_accuracy: 0.9635 - 669ms/epoch - 5ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.5200 - categorical_accuracy: 0.8456 - val_loss: 0.2603 - val_categorical_accuracy: 0.9124 - 684ms/epoch - 5ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.1439 - categorical_accuracy: 0.9490 - val_loss: 0.1951 - val_categorical_accuracy: 0.9425 - 639ms/epoch - 5ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9714 - val_loss: 0.1962 - val_categorical_accuracy: 0.9500 - 652ms/epoch - 5ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9784 - val_loss: 0.1823 - val_categorical_accuracy: 0.9549 - 652ms/epoch - 5ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9827 - val_loss: 0.1802 - val_categorical_accuracy: 0.9583 - 651ms/epoch - 5ms/step
processing fold # 2 
Epoch 1/1500
141/141 - 1s - loss: 1.9595 - categorical_accuracy: 0.2616 - val_loss: 1.8129 - val_categorical_accuracy: 0.3045 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5441 - categorical_accuracy: 0.4166 - val_loss: 1.4079 - val_categorical_accuracy: 0.4612 - 665ms/epoch - 5ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.2883 - categorical_accuracy: 0.5122 - val_loss: 1.1714 - val_categorical_accuracy: 0.5508 - 670ms/epoch - 5ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1443 - categorical_accuracy: 0.5685 - val_loss: 1.0028 - val_categorical_accuracy: 0.6219 - 654ms/epoch - 5ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.0299 - categorical_accuracy: 0.6155 - val_loss: 1.4331 - val_categorical_accuracy: 0.5314 - 638ms/epoch - 5ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9459 - categorical_accuracy: 0.6489 - val_loss: 1.2514 - val_categorical_accuracy: 0.5552 - 683ms/epoch - 5ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8327 - categorical_accuracy: 0.6893 - val_loss: 0.7474 - val_categorical_accuracy: 0.7105 - 655ms/epoch - 5ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.7711 - categorical_accuracy: 0.7124 - val_loss: 0.7116 - val_categorical_accuracy: 0.7235 - 638ms/epoch - 5ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.6871 - categorical_accuracy: 0.7416 - val_loss: 0.5930 - val_categorical_accuracy: 0.7782 - 812ms/epoch - 6ms/step
Epoch 10/1500
141/141 - 1s - loss: 1.4629 - categorical_accuracy: 0.4863 - val_loss: 1.3273 - val_categorical_accuracy: 0.5183 - 667ms/epoch - 5ms/step
Epoch 11/1500
141/141 - 1s - loss: 1.0604 - categorical_accuracy: 0.6149 - val_loss: 1.1953 - val_categorical_accuracy: 0.5850 - 669ms/epoch - 5ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.7785 - categorical_accuracy: 0.7151 - val_loss: 0.6462 - val_categorical_accuracy: 0.7541 - 654ms/epoch - 5ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.7163 - categorical_accuracy: 0.7421 - val_loss: 0.5949 - val_categorical_accuracy: 0.7831 - 686ms/epoch - 5ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5899 - categorical_accuracy: 0.7812 - val_loss: 0.5179 - val_categorical_accuracy: 0.8122 - 651ms/epoch - 5ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5499 - categorical_accuracy: 0.7947 - val_loss: 0.5439 - val_categorical_accuracy: 0.7927 - 651ms/epoch - 5ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.6071 - categorical_accuracy: 0.7846 - val_loss: 0.5402 - val_categorical_accuracy: 0.8040 - 704ms/epoch - 5ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.4961 - categorical_accuracy: 0.8143 - val_loss: 0.4545 - val_categorical_accuracy: 0.8350 - 651ms/epoch - 5ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4835 - categorical_accuracy: 0.8217 - val_loss: 0.5129 - val_categorical_accuracy: 0.8061 - 638ms/epoch - 5ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4456 - categorical_accuracy: 0.8329 - val_loss: 0.5180 - val_categorical_accuracy: 0.8080 - 668ms/epoch - 5ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4318 - categorical_accuracy: 0.8395 - val_loss: 0.4539 - val_categorical_accuracy: 0.8305 - 637ms/epoch - 5ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.9723 - categorical_accuracy: 0.6865 - val_loss: 0.6555 - val_categorical_accuracy: 0.7609 - 668ms/epoch - 5ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.5462 - categorical_accuracy: 0.7984 - val_loss: 0.6938 - val_categorical_accuracy: 0.7423 - 668ms/epoch - 5ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4614 - categorical_accuracy: 0.8302 - val_loss: 0.4078 - val_categorical_accuracy: 0.8554 - 637ms/epoch - 5ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.5435 - categorical_accuracy: 0.8160 - val_loss: 0.4757 - val_categorical_accuracy: 0.8376 - 655ms/epoch - 5ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.4013 - categorical_accuracy: 0.8540 - val_loss: 0.3991 - val_categorical_accuracy: 0.8567 - 671ms/epoch - 5ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3918 - categorical_accuracy: 0.8586 - val_loss: 0.4457 - val_categorical_accuracy: 0.8342 - 669ms/epoch - 5ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3610 - categorical_accuracy: 0.8690 - val_loss: 0.4018 - val_categorical_accuracy: 0.8527 - 667ms/epoch - 5ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3469 - categorical_accuracy: 0.8737 - val_loss: 0.3906 - val_categorical_accuracy: 0.8601 - 671ms/epoch - 5ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.3664 - categorical_accuracy: 0.8713 - val_loss: 0.3805 - val_categorical_accuracy: 0.8565 - 635ms/epoch - 5ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3420 - categorical_accuracy: 0.8784 - val_loss: 0.3460 - val_categorical_accuracy: 0.8755 - 655ms/epoch - 5ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.4086 - categorical_accuracy: 0.8648 - val_loss: 0.3385 - val_categorical_accuracy: 0.8808 - 698ms/epoch - 5ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3092 - categorical_accuracy: 0.8895 - val_loss: 0.3484 - val_categorical_accuracy: 0.8756 - 650ms/epoch - 5ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.2926 - categorical_accuracy: 0.8945 - val_loss: 0.3209 - val_categorical_accuracy: 0.8839 - 640ms/epoch - 5ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.2813 - categorical_accuracy: 0.8992 - val_loss: 0.3722 - val_categorical_accuracy: 0.8673 - 685ms/epoch - 5ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2925 - categorical_accuracy: 0.8959 - val_loss: 0.2858 - val_categorical_accuracy: 0.8979 - 635ms/epoch - 5ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2741 - categorical_accuracy: 0.9021 - val_loss: 0.2788 - val_categorical_accuracy: 0.9008 - 671ms/epoch - 5ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2698 - categorical_accuracy: 0.9039 - val_loss: 0.3049 - val_categorical_accuracy: 0.8909 - 668ms/epoch - 5ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2627 - categorical_accuracy: 0.9060 - val_loss: 0.3080 - val_categorical_accuracy: 0.8889 - 620ms/epoch - 4ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2663 - categorical_accuracy: 0.9048 - val_loss: 0.2935 - val_categorical_accuracy: 0.8943 - 654ms/epoch - 5ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2980 - categorical_accuracy: 0.8990 - val_loss: 0.2490 - val_categorical_accuracy: 0.9119 - 654ms/epoch - 5ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2400 - categorical_accuracy: 0.9147 - val_loss: 0.2822 - val_categorical_accuracy: 0.8986 - 667ms/epoch - 5ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2413 - categorical_accuracy: 0.9148 - val_loss: 0.2540 - val_categorical_accuracy: 0.9083 - 656ms/epoch - 5ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2387 - categorical_accuracy: 0.9152 - val_loss: 0.2479 - val_categorical_accuracy: 0.9109 - 672ms/epoch - 5ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2418 - categorical_accuracy: 0.9154 - val_loss: 1.3512 - val_categorical_accuracy: 0.6442 - 655ms/epoch - 5ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2694 - categorical_accuracy: 0.9102 - val_loss: 0.2323 - val_categorical_accuracy: 0.9190 - 654ms/epoch - 5ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2248 - categorical_accuracy: 0.9216 - val_loss: 0.2739 - val_categorical_accuracy: 0.9040 - 703ms/epoch - 5ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2199 - categorical_accuracy: 0.9225 - val_loss: 0.3786 - val_categorical_accuracy: 0.8695 - 639ms/epoch - 5ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2426 - categorical_accuracy: 0.9176 - val_loss: 0.2332 - val_categorical_accuracy: 0.9198 - 667ms/epoch - 5ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2134 - categorical_accuracy: 0.9251 - val_loss: 0.2628 - val_categorical_accuracy: 0.9031 - 653ms/epoch - 5ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2055 - categorical_accuracy: 0.9273 - val_loss: 0.2373 - val_categorical_accuracy: 0.9159 - 638ms/epoch - 5ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2200 - categorical_accuracy: 0.9238 - val_loss: 0.2309 - val_categorical_accuracy: 0.9195 - 745ms/epoch - 5ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.1956 - categorical_accuracy: 0.9310 - val_loss: 0.2152 - val_categorical_accuracy: 0.9263 - 655ms/epoch - 5ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.7633 - categorical_accuracy: 0.7602 - val_loss: 0.3498 - val_categorical_accuracy: 0.8756 - 639ms/epoch - 5ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2848 - categorical_accuracy: 0.8986 - val_loss: 0.2803 - val_categorical_accuracy: 0.9017 - 651ms/epoch - 5ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2466 - categorical_accuracy: 0.9128 - val_loss: 0.2577 - val_categorical_accuracy: 0.9094 - 655ms/epoch - 5ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2204 - categorical_accuracy: 0.9223 - val_loss: 0.2359 - val_categorical_accuracy: 0.9168 - 672ms/epoch - 5ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2498 - categorical_accuracy: 0.9176 - val_loss: 0.2421 - val_categorical_accuracy: 0.9169 - 652ms/epoch - 5ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2143 - categorical_accuracy: 0.9263 - val_loss: 0.2234 - val_categorical_accuracy: 0.9230 - 651ms/epoch - 5ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.2030 - categorical_accuracy: 0.9289 - val_loss: 0.2466 - val_categorical_accuracy: 0.9119 - 623ms/epoch - 4ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.1949 - categorical_accuracy: 0.9320 - val_loss: 0.2264 - val_categorical_accuracy: 0.9240 - 652ms/epoch - 5ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.1852 - categorical_accuracy: 0.9357 - val_loss: 0.2076 - val_categorical_accuracy: 0.9284 - 671ms/epoch - 5ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.3557 - categorical_accuracy: 0.8912 - val_loss: 0.2335 - val_categorical_accuracy: 0.9181 - 671ms/epoch - 5ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1972 - categorical_accuracy: 0.9324 - val_loss: 0.2070 - val_categorical_accuracy: 0.9291 - 666ms/epoch - 5ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1773 - categorical_accuracy: 0.9383 - val_loss: 0.2090 - val_categorical_accuracy: 0.9262 - 640ms/epoch - 5ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1803 - categorical_accuracy: 0.9371 - val_loss: 0.2268 - val_categorical_accuracy: 0.9208 - 654ms/epoch - 5ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1765 - categorical_accuracy: 0.9386 - val_loss: 0.2190 - val_categorical_accuracy: 0.9258 - 685ms/epoch - 5ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1752 - categorical_accuracy: 0.9393 - val_loss: 0.2257 - val_categorical_accuracy: 0.9219 - 670ms/epoch - 5ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1965 - categorical_accuracy: 0.9340 - val_loss: 0.2516 - val_categorical_accuracy: 0.9141 - 649ms/epoch - 5ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1699 - categorical_accuracy: 0.9416 - val_loss: 0.2127 - val_categorical_accuracy: 0.9270 - 670ms/epoch - 5ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1558 - categorical_accuracy: 0.9462 - val_loss: 0.2382 - val_categorical_accuracy: 0.9186 - 653ms/epoch - 5ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1669 - categorical_accuracy: 0.9422 - val_loss: 0.1980 - val_categorical_accuracy: 0.9304 - 671ms/epoch - 5ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1703 - categorical_accuracy: 0.9414 - val_loss: 0.4024 - val_categorical_accuracy: 0.8716 - 682ms/epoch - 5ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1847 - categorical_accuracy: 0.9389 - val_loss: 0.1864 - val_categorical_accuracy: 0.9388 - 653ms/epoch - 5ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1533 - categorical_accuracy: 0.9471 - val_loss: 0.2045 - val_categorical_accuracy: 0.9326 - 639ms/epoch - 5ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1929 - categorical_accuracy: 0.9376 - val_loss: 0.2322 - val_categorical_accuracy: 0.9221 - 658ms/epoch - 5ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1638 - categorical_accuracy: 0.9441 - val_loss: 0.2032 - val_categorical_accuracy: 0.9304 - 701ms/epoch - 5ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1408 - categorical_accuracy: 0.9516 - val_loss: 0.1828 - val_categorical_accuracy: 0.9385 - 638ms/epoch - 5ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1562 - categorical_accuracy: 0.9454 - val_loss: 0.1820 - val_categorical_accuracy: 0.9395 - 652ms/epoch - 5ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1417 - categorical_accuracy: 0.9514 - val_loss: 0.2179 - val_categorical_accuracy: 0.9253 - 638ms/epoch - 5ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1518 - categorical_accuracy: 0.9475 - val_loss: 0.1972 - val_categorical_accuracy: 0.9336 - 636ms/epoch - 5ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1479 - categorical_accuracy: 0.9496 - val_loss: 0.1939 - val_categorical_accuracy: 0.9339 - 700ms/epoch - 5ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1470 - categorical_accuracy: 0.9484 - val_loss: 0.2055 - val_categorical_accuracy: 0.9292 - 637ms/epoch - 5ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.2473 - categorical_accuracy: 0.9257 - val_loss: 0.2016 - val_categorical_accuracy: 0.9318 - 638ms/epoch - 5ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1391 - categorical_accuracy: 0.9527 - val_loss: 0.1926 - val_categorical_accuracy: 0.9352 - 669ms/epoch - 5ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1387 - categorical_accuracy: 0.9525 - val_loss: 0.1908 - val_categorical_accuracy: 0.9363 - 636ms/epoch - 5ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1315 - categorical_accuracy: 0.9548 - val_loss: 0.1724 - val_categorical_accuracy: 0.9433 - 667ms/epoch - 5ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1352 - categorical_accuracy: 0.9529 - val_loss: 0.1916 - val_categorical_accuracy: 0.9345 - 655ms/epoch - 5ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1372 - categorical_accuracy: 0.9535 - val_loss: 0.1673 - val_categorical_accuracy: 0.9445 - 640ms/epoch - 5ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1577 - categorical_accuracy: 0.9479 - val_loss: 0.1731 - val_categorical_accuracy: 0.9432 - 669ms/epoch - 5ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1240 - categorical_accuracy: 0.9574 - val_loss: 0.2376 - val_categorical_accuracy: 0.9158 - 651ms/epoch - 5ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1792 - categorical_accuracy: 0.9429 - val_loss: 0.1806 - val_categorical_accuracy: 0.9388 - 645ms/epoch - 5ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1216 - categorical_accuracy: 0.9586 - val_loss: 0.1952 - val_categorical_accuracy: 0.9362 - 685ms/epoch - 5ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1403 - categorical_accuracy: 0.9521 - val_loss: 0.1755 - val_categorical_accuracy: 0.9427 - 651ms/epoch - 5ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1514 - categorical_accuracy: 0.9510 - val_loss: 0.1713 - val_categorical_accuracy: 0.9432 - 636ms/epoch - 5ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1336 - categorical_accuracy: 0.9553 - val_loss: 0.1641 - val_categorical_accuracy: 0.9448 - 670ms/epoch - 5ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1204 - categorical_accuracy: 0.9587 - val_loss: 0.1795 - val_categorical_accuracy: 0.9396 - 669ms/epoch - 5ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1189 - categorical_accuracy: 0.9592 - val_loss: 0.2763 - val_categorical_accuracy: 0.9072 - 638ms/epoch - 5ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1582 - categorical_accuracy: 0.9502 - val_loss: 0.1693 - val_categorical_accuracy: 0.9436 - 654ms/epoch - 5ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1253 - categorical_accuracy: 0.9574 - val_loss: 0.1613 - val_categorical_accuracy: 0.9469 - 654ms/epoch - 5ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1153 - categorical_accuracy: 0.9604 - val_loss: 0.1697 - val_categorical_accuracy: 0.9430 - 635ms/epoch - 5ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1328 - categorical_accuracy: 0.9552 - val_loss: 0.1719 - val_categorical_accuracy: 0.9441 - 700ms/epoch - 5ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1270 - categorical_accuracy: 0.9569 - val_loss: 0.1831 - val_categorical_accuracy: 0.9408 - 652ms/epoch - 5ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1690 - categorical_accuracy: 0.9473 - val_loss: 0.1846 - val_categorical_accuracy: 0.9367 - 638ms/epoch - 5ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1106 - categorical_accuracy: 0.9626 - val_loss: 0.2890 - val_categorical_accuracy: 0.8987 - 654ms/epoch - 5ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1234 - categorical_accuracy: 0.9576 - val_loss: 0.1671 - val_categorical_accuracy: 0.9464 - 640ms/epoch - 5ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.2046 - categorical_accuracy: 0.9394 - val_loss: 0.1945 - val_categorical_accuracy: 0.9339 - 652ms/epoch - 5ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1135 - categorical_accuracy: 0.9617 - val_loss: 0.1708 - val_categorical_accuracy: 0.9453 - 655ms/epoch - 5ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1101 - categorical_accuracy: 0.9620 - val_loss: 0.1606 - val_categorical_accuracy: 0.9479 - 638ms/epoch - 5ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1141 - categorical_accuracy: 0.9609 - val_loss: 0.1665 - val_categorical_accuracy: 0.9444 - 633ms/epoch - 4ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1054 - categorical_accuracy: 0.9635 - val_loss: 0.1693 - val_categorical_accuracy: 0.9465 - 685ms/epoch - 5ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.2322 - categorical_accuracy: 0.9302 - val_loss: 0.3081 - val_categorical_accuracy: 0.8923 - 702ms/epoch - 5ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1295 - categorical_accuracy: 0.9560 - val_loss: 0.1678 - val_categorical_accuracy: 0.9456 - 651ms/epoch - 5ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1044 - categorical_accuracy: 0.9647 - val_loss: 0.1646 - val_categorical_accuracy: 0.9458 - 683ms/epoch - 5ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1103 - categorical_accuracy: 0.9624 - val_loss: 0.1826 - val_categorical_accuracy: 0.9411 - 653ms/epoch - 5ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1057 - categorical_accuracy: 0.9634 - val_loss: 0.1731 - val_categorical_accuracy: 0.9447 - 651ms/epoch - 5ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1091 - categorical_accuracy: 0.9623 - val_loss: 0.1796 - val_categorical_accuracy: 0.9428 - 698ms/epoch - 5ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1039 - categorical_accuracy: 0.9642 - val_loss: 0.1673 - val_categorical_accuracy: 0.9467 - 663ms/epoch - 5ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9669 - val_loss: 0.1726 - val_categorical_accuracy: 0.9444 - 664ms/epoch - 5ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1320 - categorical_accuracy: 0.9568 - val_loss: 0.2219 - val_categorical_accuracy: 0.9329 - 681ms/epoch - 5ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.0981 - categorical_accuracy: 0.9665 - val_loss: 0.2512 - val_categorical_accuracy: 0.9204 - 671ms/epoch - 5ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1368 - categorical_accuracy: 0.9571 - val_loss: 0.1771 - val_categorical_accuracy: 0.9433 - 698ms/epoch - 5ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1022 - categorical_accuracy: 0.9649 - val_loss: 0.1797 - val_categorical_accuracy: 0.9400 - 669ms/epoch - 5ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1010 - categorical_accuracy: 0.9654 - val_loss: 0.1690 - val_categorical_accuracy: 0.9476 - 670ms/epoch - 5ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.0973 - categorical_accuracy: 0.9665 - val_loss: 0.1668 - val_categorical_accuracy: 0.9486 - 651ms/epoch - 5ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1274 - categorical_accuracy: 0.9592 - val_loss: 0.1540 - val_categorical_accuracy: 0.9514 - 681ms/epoch - 5ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.0934 - categorical_accuracy: 0.9681 - val_loss: 0.1542 - val_categorical_accuracy: 0.9532 - 683ms/epoch - 5ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1300 - categorical_accuracy: 0.9579 - val_loss: 0.1710 - val_categorical_accuracy: 0.9439 - 654ms/epoch - 5ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9661 - val_loss: 0.1807 - val_categorical_accuracy: 0.9421 - 685ms/epoch - 5ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.0996 - categorical_accuracy: 0.9660 - val_loss: 0.3172 - val_categorical_accuracy: 0.9089 - 668ms/epoch - 5ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1024 - categorical_accuracy: 0.9659 - val_loss: 0.1660 - val_categorical_accuracy: 0.9499 - 640ms/epoch - 5ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1094 - categorical_accuracy: 0.9635 - val_loss: 0.1532 - val_categorical_accuracy: 0.9520 - 702ms/epoch - 5ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0917 - categorical_accuracy: 0.9688 - val_loss: 0.1486 - val_categorical_accuracy: 0.9546 - 703ms/epoch - 5ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0946 - categorical_accuracy: 0.9675 - val_loss: 0.1638 - val_categorical_accuracy: 0.9480 - 656ms/epoch - 5ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0984 - categorical_accuracy: 0.9659 - val_loss: 0.1653 - val_categorical_accuracy: 0.9471 - 698ms/epoch - 5ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1190 - categorical_accuracy: 0.9610 - val_loss: 0.1582 - val_categorical_accuracy: 0.9496 - 685ms/epoch - 5ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.0889 - categorical_accuracy: 0.9700 - val_loss: 0.1569 - val_categorical_accuracy: 0.9526 - 699ms/epoch - 5ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1170 - categorical_accuracy: 0.9614 - val_loss: 0.1614 - val_categorical_accuracy: 0.9479 - 655ms/epoch - 5ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.0859 - categorical_accuracy: 0.9709 - val_loss: 0.1598 - val_categorical_accuracy: 0.9517 - 670ms/epoch - 5ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1148 - categorical_accuracy: 0.9618 - val_loss: 0.1605 - val_categorical_accuracy: 0.9507 - 650ms/epoch - 5ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0852 - categorical_accuracy: 0.9708 - val_loss: 0.1613 - val_categorical_accuracy: 0.9492 - 669ms/epoch - 5ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1025 - categorical_accuracy: 0.9655 - val_loss: 0.1693 - val_categorical_accuracy: 0.9450 - 719ms/epoch - 5ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.1014 - categorical_accuracy: 0.9655 - val_loss: 0.1579 - val_categorical_accuracy: 0.9516 - 639ms/epoch - 5ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0932 - categorical_accuracy: 0.9683 - val_loss: 0.1523 - val_categorical_accuracy: 0.9525 - 649ms/epoch - 5ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9621 - val_loss: 0.1668 - val_categorical_accuracy: 0.9459 - 655ms/epoch - 5ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0843 - categorical_accuracy: 0.9712 - val_loss: 0.1577 - val_categorical_accuracy: 0.9505 - 639ms/epoch - 5ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.0850 - categorical_accuracy: 0.9708 - val_loss: 0.1637 - val_categorical_accuracy: 0.9512 - 684ms/epoch - 5ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0855 - categorical_accuracy: 0.9704 - val_loss: 0.1911 - val_categorical_accuracy: 0.9430 - 651ms/epoch - 5ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0854 - categorical_accuracy: 0.9705 - val_loss: 0.1777 - val_categorical_accuracy: 0.9433 - 639ms/epoch - 5ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9673 - val_loss: 0.1624 - val_categorical_accuracy: 0.9505 - 635ms/epoch - 5ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0863 - categorical_accuracy: 0.9703 - val_loss: 0.1515 - val_categorical_accuracy: 0.9531 - 671ms/epoch - 5ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1993 - categorical_accuracy: 0.9423 - val_loss: 0.1748 - val_categorical_accuracy: 0.9465 - 666ms/epoch - 5ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0843 - categorical_accuracy: 0.9714 - val_loss: 0.1543 - val_categorical_accuracy: 0.9538 - 654ms/epoch - 5ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0834 - categorical_accuracy: 0.9712 - val_loss: 0.1944 - val_categorical_accuracy: 0.9436 - 653ms/epoch - 5ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0917 - categorical_accuracy: 0.9691 - val_loss: 0.5593 - val_categorical_accuracy: 0.8423 - 634ms/epoch - 4ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0941 - categorical_accuracy: 0.9684 - val_loss: 0.1556 - val_categorical_accuracy: 0.9535 - 700ms/epoch - 5ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0798 - categorical_accuracy: 0.9726 - val_loss: 0.1924 - val_categorical_accuracy: 0.9433 - 655ms/epoch - 5ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0842 - categorical_accuracy: 0.9707 - val_loss: 0.2065 - val_categorical_accuracy: 0.9409 - 637ms/epoch - 5ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.1258 - categorical_accuracy: 0.9621 - val_loss: 0.1721 - val_categorical_accuracy: 0.9452 - 670ms/epoch - 5ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0807 - categorical_accuracy: 0.9721 - val_loss: 0.1719 - val_categorical_accuracy: 0.9477 - 637ms/epoch - 5ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9686 - val_loss: 0.1513 - val_categorical_accuracy: 0.9550 - 668ms/epoch - 5ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0766 - categorical_accuracy: 0.9739 - val_loss: 0.1620 - val_categorical_accuracy: 0.9527 - 653ms/epoch - 5ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.1067 - categorical_accuracy: 0.9664 - val_loss: 0.2011 - val_categorical_accuracy: 0.9342 - 654ms/epoch - 5ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0832 - categorical_accuracy: 0.9718 - val_loss: 0.1616 - val_categorical_accuracy: 0.9524 - 639ms/epoch - 5ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1867 - categorical_accuracy: 0.9444 - val_loss: 0.1576 - val_categorical_accuracy: 0.9495 - 652ms/epoch - 5ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0838 - categorical_accuracy: 0.9715 - val_loss: 0.1635 - val_categorical_accuracy: 0.9492 - 687ms/epoch - 5ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0859 - categorical_accuracy: 0.9712 - val_loss: 0.1849 - val_categorical_accuracy: 0.9445 - 637ms/epoch - 5ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0782 - categorical_accuracy: 0.9733 - val_loss: 0.1583 - val_categorical_accuracy: 0.9516 - 669ms/epoch - 5ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0958 - categorical_accuracy: 0.9677 - val_loss: 0.1533 - val_categorical_accuracy: 0.9538 - 640ms/epoch - 5ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0729 - categorical_accuracy: 0.9753 - val_loss: 0.1582 - val_categorical_accuracy: 0.9515 - 637ms/epoch - 5ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0937 - categorical_accuracy: 0.9692 - val_loss: 0.1831 - val_categorical_accuracy: 0.9447 - 712ms/epoch - 5ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0759 - categorical_accuracy: 0.9737 - val_loss: 0.1473 - val_categorical_accuracy: 0.9566 - 634ms/epoch - 4ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0925 - categorical_accuracy: 0.9703 - val_loss: 0.2289 - val_categorical_accuracy: 0.9298 - 636ms/epoch - 5ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0768 - categorical_accuracy: 0.9738 - val_loss: 0.1759 - val_categorical_accuracy: 0.9488 - 671ms/epoch - 5ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.1175 - categorical_accuracy: 0.9635 - val_loss: 0.1539 - val_categorical_accuracy: 0.9548 - 639ms/epoch - 5ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9750 - val_loss: 0.1417 - val_categorical_accuracy: 0.9584 - 684ms/epoch - 5ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0817 - categorical_accuracy: 0.9721 - val_loss: 0.1572 - val_categorical_accuracy: 0.9527 - 654ms/epoch - 5ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0727 - categorical_accuracy: 0.9751 - val_loss: 0.2048 - val_categorical_accuracy: 0.9410 - 637ms/epoch - 5ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9722 - val_loss: 0.1829 - val_categorical_accuracy: 0.9441 - 652ms/epoch - 5ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0757 - categorical_accuracy: 0.9740 - val_loss: 0.1504 - val_categorical_accuracy: 0.9553 - 653ms/epoch - 5ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0891 - categorical_accuracy: 0.9698 - val_loss: 0.1568 - val_categorical_accuracy: 0.9510 - 654ms/epoch - 5ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0730 - categorical_accuracy: 0.9751 - val_loss: 0.1528 - val_categorical_accuracy: 0.9559 - 650ms/epoch - 5ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0747 - categorical_accuracy: 0.9741 - val_loss: 0.1696 - val_categorical_accuracy: 0.9522 - 652ms/epoch - 5ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0780 - categorical_accuracy: 0.9734 - val_loss: 0.1607 - val_categorical_accuracy: 0.9547 - 640ms/epoch - 5ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.1308 - categorical_accuracy: 0.9609 - val_loss: 0.1604 - val_categorical_accuracy: 0.9499 - 663ms/epoch - 5ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0757 - categorical_accuracy: 0.9744 - val_loss: 0.1540 - val_categorical_accuracy: 0.9524 - 668ms/epoch - 5ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0722 - categorical_accuracy: 0.9754 - val_loss: 0.1590 - val_categorical_accuracy: 0.9539 - 639ms/epoch - 5ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0837 - categorical_accuracy: 0.9719 - val_loss: 0.1434 - val_categorical_accuracy: 0.9581 - 666ms/epoch - 5ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9748 - val_loss: 0.1537 - val_categorical_accuracy: 0.9556 - 654ms/epoch - 5ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.1058 - categorical_accuracy: 0.9670 - val_loss: 0.1769 - val_categorical_accuracy: 0.9510 - 650ms/epoch - 5ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9705 - val_loss: 0.1667 - val_categorical_accuracy: 0.9513 - 686ms/epoch - 5ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9760 - val_loss: 0.1561 - val_categorical_accuracy: 0.9561 - 653ms/epoch - 5ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0752 - categorical_accuracy: 0.9745 - val_loss: 0.1583 - val_categorical_accuracy: 0.9560 - 638ms/epoch - 5ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9763 - val_loss: 0.1772 - val_categorical_accuracy: 0.9466 - 668ms/epoch - 5ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9759 - val_loss: 0.1623 - val_categorical_accuracy: 0.9517 - 654ms/epoch - 5ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.1076 - categorical_accuracy: 0.9666 - val_loss: 0.8906 - val_categorical_accuracy: 0.7764 - 670ms/epoch - 5ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0871 - categorical_accuracy: 0.9710 - val_loss: 0.1570 - val_categorical_accuracy: 0.9559 - 667ms/epoch - 5ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9768 - val_loss: 0.1527 - val_categorical_accuracy: 0.9563 - 650ms/epoch - 5ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0734 - categorical_accuracy: 0.9748 - val_loss: 0.1720 - val_categorical_accuracy: 0.9471 - 637ms/epoch - 5ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0705 - categorical_accuracy: 0.9757 - val_loss: 0.1629 - val_categorical_accuracy: 0.9526 - 669ms/epoch - 5ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9760 - val_loss: 0.1637 - val_categorical_accuracy: 0.9521 - 652ms/epoch - 5ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.1125 - categorical_accuracy: 0.9654 - val_loss: 0.1538 - val_categorical_accuracy: 0.9555 - 637ms/epoch - 5ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9766 - val_loss: 0.1457 - val_categorical_accuracy: 0.9584 - 667ms/epoch - 5ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9768 - val_loss: 0.2023 - val_categorical_accuracy: 0.9446 - 636ms/epoch - 5ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.1158 - categorical_accuracy: 0.9645 - val_loss: 0.1529 - val_categorical_accuracy: 0.9548 - 670ms/epoch - 5ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9758 - val_loss: 0.1473 - val_categorical_accuracy: 0.9563 - 863ms/epoch - 6ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9767 - val_loss: 0.1707 - val_categorical_accuracy: 0.9511 - 637ms/epoch - 5ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9776 - val_loss: 0.1583 - val_categorical_accuracy: 0.9556 - 636ms/epoch - 5ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9764 - val_loss: 0.1562 - val_categorical_accuracy: 0.9570 - 686ms/epoch - 5ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9763 - val_loss: 0.1555 - val_categorical_accuracy: 0.9574 - 638ms/epoch - 5ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0966 - categorical_accuracy: 0.9687 - val_loss: 0.1519 - val_categorical_accuracy: 0.9564 - 669ms/epoch - 5ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9774 - val_loss: 0.1515 - val_categorical_accuracy: 0.9552 - 655ms/epoch - 5ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0760 - categorical_accuracy: 0.9746 - val_loss: 0.1724 - val_categorical_accuracy: 0.9531 - 653ms/epoch - 5ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9770 - val_loss: 0.1734 - val_categorical_accuracy: 0.9515 - 654ms/epoch - 5ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0902 - categorical_accuracy: 0.9711 - val_loss: 0.1498 - val_categorical_accuracy: 0.9578 - 651ms/epoch - 5ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0668 - categorical_accuracy: 0.9768 - val_loss: 0.1737 - val_categorical_accuracy: 0.9521 - 681ms/epoch - 5ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9729 - val_loss: 0.1652 - val_categorical_accuracy: 0.9517 - 670ms/epoch - 5ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0668 - categorical_accuracy: 0.9770 - val_loss: 0.1628 - val_categorical_accuracy: 0.9526 - 654ms/epoch - 5ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9778 - val_loss: 0.1576 - val_categorical_accuracy: 0.9566 - 650ms/epoch - 5ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9776 - val_loss: 0.1725 - val_categorical_accuracy: 0.9536 - 637ms/epoch - 5ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9713 - val_loss: 0.1575 - val_categorical_accuracy: 0.9566 - 698ms/epoch - 5ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0654 - categorical_accuracy: 0.9772 - val_loss: 0.1637 - val_categorical_accuracy: 0.9522 - 647ms/epoch - 5ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.1294 - categorical_accuracy: 0.9620 - val_loss: 0.1662 - val_categorical_accuracy: 0.9491 - 637ms/epoch - 5ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0682 - categorical_accuracy: 0.9765 - val_loss: 0.1649 - val_categorical_accuracy: 0.9526 - 667ms/epoch - 5ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9781 - val_loss: 0.1643 - val_categorical_accuracy: 0.9543 - 668ms/epoch - 5ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9784 - val_loss: 0.1614 - val_categorical_accuracy: 0.9564 - 686ms/epoch - 5ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0827 - categorical_accuracy: 0.9729 - val_loss: 0.1593 - val_categorical_accuracy: 0.9545 - 686ms/epoch - 5ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9787 - val_loss: 0.1771 - val_categorical_accuracy: 0.9511 - 663ms/epoch - 5ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9778 - val_loss: 0.1558 - val_categorical_accuracy: 0.9585 - 637ms/epoch - 5ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9730 - val_loss: 0.1517 - val_categorical_accuracy: 0.9588 - 671ms/epoch - 5ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.1840 - categorical_accuracy: 0.9495 - val_loss: 0.1634 - val_categorical_accuracy: 0.9499 - 639ms/epoch - 5ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9759 - val_loss: 0.1541 - val_categorical_accuracy: 0.9570 - 686ms/epoch - 5ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9783 - val_loss: 0.1643 - val_categorical_accuracy: 0.9513 - 670ms/epoch - 5ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.1049 - categorical_accuracy: 0.9681 - val_loss: 0.2040 - val_categorical_accuracy: 0.9431 - 636ms/epoch - 5ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9787 - val_loss: 0.1650 - val_categorical_accuracy: 0.9534 - 637ms/epoch - 5ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9773 - val_loss: 0.2572 - val_categorical_accuracy: 0.9264 - 668ms/epoch - 5ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9773 - val_loss: 0.1841 - val_categorical_accuracy: 0.9459 - 670ms/epoch - 5ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9777 - val_loss: 0.1481 - val_categorical_accuracy: 0.9592 - 654ms/epoch - 5ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9792 - val_loss: 0.1784 - val_categorical_accuracy: 0.9507 - 655ms/epoch - 5ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9776 - val_loss: 0.1574 - val_categorical_accuracy: 0.9586 - 635ms/epoch - 5ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9789 - val_loss: 0.1615 - val_categorical_accuracy: 0.9556 - 655ms/epoch - 5ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9785 - val_loss: 0.1526 - val_categorical_accuracy: 0.9581 - 671ms/epoch - 5ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0616 - categorical_accuracy: 0.9786 - val_loss: 0.1640 - val_categorical_accuracy: 0.9552 - 639ms/epoch - 5ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9714 - val_loss: 0.1598 - val_categorical_accuracy: 0.9543 - 653ms/epoch - 5ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9792 - val_loss: 0.1631 - val_categorical_accuracy: 0.9565 - 645ms/epoch - 5ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9776 - val_loss: 0.1720 - val_categorical_accuracy: 0.9528 - 640ms/epoch - 5ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9793 - val_loss: 0.1660 - val_categorical_accuracy: 0.9533 - 696ms/epoch - 5ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9783 - val_loss: 0.1515 - val_categorical_accuracy: 0.9601 - 671ms/epoch - 5ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9788 - val_loss: 0.1576 - val_categorical_accuracy: 0.9574 - 639ms/epoch - 5ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9762 - val_loss: 0.1561 - val_categorical_accuracy: 0.9584 - 666ms/epoch - 5ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9793 - val_loss: 0.1576 - val_categorical_accuracy: 0.9569 - 651ms/epoch - 5ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9787 - val_loss: 0.1618 - val_categorical_accuracy: 0.9572 - 684ms/epoch - 5ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.1732 - categorical_accuracy: 0.9518 - val_loss: 0.1497 - val_categorical_accuracy: 0.9583 - 652ms/epoch - 5ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9792 - val_loss: 0.1676 - val_categorical_accuracy: 0.9557 - 653ms/epoch - 5ms/step
Epoch 254/1500
Epoch 255/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9796 - val_loss: 0.1690 - val_categorical_accuracy: 0.9560 - 682ms/epoch - 5ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9796 - val_loss: 0.1643 - val_categorical_accuracy: 0.9567 - 665ms/epoch - 5ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9722 - val_loss: 0.1653 - val_categorical_accuracy: 0.9553 - 651ms/epoch - 5ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9794 - val_loss: 0.1625 - val_categorical_accuracy: 0.9560 - 668ms/epoch - 5ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0848 - categorical_accuracy: 0.9729 - val_loss: 0.1647 - val_categorical_accuracy: 0.9542 - 639ms/epoch - 5ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9796 - val_loss: 0.1525 - val_categorical_accuracy: 0.9590 - 634ms/epoch - 4ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9803 - val_loss: 0.1762 - val_categorical_accuracy: 0.9543 - 685ms/epoch - 5ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9795 - val_loss: 0.1586 - val_categorical_accuracy: 0.9567 - 638ms/epoch - 5ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0933 - categorical_accuracy: 0.9710 - val_loss: 0.1565 - val_categorical_accuracy: 0.9579 - 639ms/epoch - 5ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9799 - val_loss: 0.1640 - val_categorical_accuracy: 0.9584 - 653ms/epoch - 5ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9800 - val_loss: 0.1665 - val_categorical_accuracy: 0.9544 - 652ms/epoch - 5ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9790 - val_loss: 0.2681 - val_categorical_accuracy: 0.9326 - 684ms/epoch - 5ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9778 - val_loss: 0.1711 - val_categorical_accuracy: 0.9518 - 668ms/epoch - 5ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9800 - val_loss: 0.1872 - val_categorical_accuracy: 0.9511 - 632ms/epoch - 4ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0899 - categorical_accuracy: 0.9718 - val_loss: 0.1542 - val_categorical_accuracy: 0.9587 - 634ms/epoch - 4ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9803 - val_loss: 0.1604 - val_categorical_accuracy: 0.9579 - 685ms/epoch - 5ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9796 - val_loss: 0.1660 - val_categorical_accuracy: 0.9576 - 671ms/epoch - 5ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9789 - val_loss: 0.1728 - val_categorical_accuracy: 0.9526 - 652ms/epoch - 5ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9793 - val_loss: 0.1977 - val_categorical_accuracy: 0.9473 - 665ms/epoch - 5ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9730 - val_loss: 0.1525 - val_categorical_accuracy: 0.9590 - 637ms/epoch - 5ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9798 - val_loss: 0.1573 - val_categorical_accuracy: 0.9596 - 655ms/epoch - 5ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9801 - val_loss: 0.1677 - val_categorical_accuracy: 0.9553 - 686ms/epoch - 5ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9798 - val_loss: 0.1679 - val_categorical_accuracy: 0.9530 - 667ms/epoch - 5ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9798 - val_loss: 0.1582 - val_categorical_accuracy: 0.9582 - 655ms/epoch - 5ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9795 - val_loss: 0.1683 - val_categorical_accuracy: 0.9557 - 655ms/epoch - 5ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9710 - val_loss: 0.1649 - val_categorical_accuracy: 0.9579 - 638ms/epoch - 5ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9803 - val_loss: 0.1580 - val_categorical_accuracy: 0.9585 - 686ms/epoch - 5ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9795 - val_loss: 0.1617 - val_categorical_accuracy: 0.9574 - 655ms/epoch - 5ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9802 - val_loss: 0.1672 - val_categorical_accuracy: 0.9535 - 639ms/epoch - 5ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9804 - val_loss: 0.1615 - val_categorical_accuracy: 0.9588 - 638ms/epoch - 5ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9805 - val_loss: 0.3817 - val_categorical_accuracy: 0.9097 - 652ms/epoch - 5ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9773 - val_loss: 0.1798 - val_categorical_accuracy: 0.9503 - 654ms/epoch - 5ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9809 - val_loss: 0.1599 - val_categorical_accuracy: 0.9566 - 654ms/epoch - 5ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9800 - val_loss: 0.1929 - val_categorical_accuracy: 0.9482 - 651ms/epoch - 5ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0669 - categorical_accuracy: 0.9773 - val_loss: 0.1599 - val_categorical_accuracy: 0.9592 - 649ms/epoch - 5ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9802 - val_loss: 0.1819 - val_categorical_accuracy: 0.9496 - 669ms/epoch - 5ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9794 - val_loss: 0.1547 - val_categorical_accuracy: 0.9592 - 670ms/epoch - 5ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.1240 - categorical_accuracy: 0.9647 - val_loss: 0.1736 - val_categorical_accuracy: 0.9489 - 649ms/epoch - 5ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9791 - val_loss: 0.1512 - val_categorical_accuracy: 0.9594 - 653ms/epoch - 5ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9804 - val_loss: 0.1739 - val_categorical_accuracy: 0.9542 - 651ms/epoch - 5ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9809 - val_loss: 0.1601 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9808 - val_loss: 0.1959 - val_categorical_accuracy: 0.9478 - 653ms/epoch - 5ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0934 - categorical_accuracy: 0.9712 - val_loss: 0.1734 - val_categorical_accuracy: 0.9525 - 638ms/epoch - 5ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9797 - val_loss: 0.1574 - val_categorical_accuracy: 0.9583 - 639ms/epoch - 5ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.1600 - categorical_accuracy: 0.9646 - val_loss: 2.2346 - val_categorical_accuracy: 0.1933 - 685ms/epoch - 5ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.5073 - categorical_accuracy: 0.8162 - val_loss: 0.1925 - val_categorical_accuracy: 0.9401 - 671ms/epoch - 5ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0956 - categorical_accuracy: 0.9666 - val_loss: 0.1773 - val_categorical_accuracy: 0.9463 - 638ms/epoch - 5ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9762 - val_loss: 0.1607 - val_categorical_accuracy: 0.9553 - 671ms/epoch - 5ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9784 - val_loss: 0.1721 - val_categorical_accuracy: 0.9549 - 635ms/epoch - 5ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9794 - val_loss: 0.1623 - val_categorical_accuracy: 0.9577 - 648ms/epoch - 5ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9790 - val_loss: 0.1540 - val_categorical_accuracy: 0.9596 - 700ms/epoch - 5ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9804 - val_loss: 0.1903 - val_categorical_accuracy: 0.9479 - 637ms/epoch - 5ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9796 - val_loss: 0.1804 - val_categorical_accuracy: 0.9511 - 651ms/epoch - 5ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9799 - val_loss: 0.1579 - val_categorical_accuracy: 0.9587 - 667ms/epoch - 5ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9801 - val_loss: 0.1549 - val_categorical_accuracy: 0.9608 - 669ms/epoch - 5ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9804 - val_loss: 0.1740 - val_categorical_accuracy: 0.9537 - 683ms/epoch - 5ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.1062 - categorical_accuracy: 0.9686 - val_loss: 0.1611 - val_categorical_accuracy: 0.9532 - 655ms/epoch - 5ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9805 - val_loss: 0.1530 - val_categorical_accuracy: 0.9606 - 637ms/epoch - 5ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0680 - categorical_accuracy: 0.9774 - val_loss: 0.1671 - val_categorical_accuracy: 0.9530 - 652ms/epoch - 5ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9798 - val_loss: 0.1946 - val_categorical_accuracy: 0.9515 - 719ms/epoch - 5ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9812 - val_loss: 0.1674 - val_categorical_accuracy: 0.9587 - 670ms/epoch - 5ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9718 - val_loss: 0.1624 - val_categorical_accuracy: 0.9542 - 668ms/epoch - 5ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9814 - val_loss: 0.1497 - val_categorical_accuracy: 0.9613 - 671ms/epoch - 5ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9819 - val_loss: 0.1594 - val_categorical_accuracy: 0.9575 - 652ms/epoch - 5ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9810 - val_loss: 0.1749 - val_categorical_accuracy: 0.9547 - 668ms/epoch - 5ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9814 - val_loss: 0.1718 - val_categorical_accuracy: 0.9557 - 671ms/epoch - 5ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9807 - val_loss: 0.1636 - val_categorical_accuracy: 0.9574 - 635ms/epoch - 5ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9804 - val_loss: 0.1797 - val_categorical_accuracy: 0.9523 - 649ms/epoch - 5ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9799 - val_loss: 0.1671 - val_categorical_accuracy: 0.9581 - 667ms/epoch - 5ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9816 - val_loss: 0.1740 - val_categorical_accuracy: 0.9570 - 655ms/epoch - 5ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9814 - val_loss: 0.1627 - val_categorical_accuracy: 0.9607 - 681ms/epoch - 5ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9816 - val_loss: 0.1697 - val_categorical_accuracy: 0.9560 - 668ms/epoch - 5ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9802 - val_loss: 0.1573 - val_categorical_accuracy: 0.9616 - 636ms/epoch - 5ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9811 - val_loss: 0.1691 - val_categorical_accuracy: 0.9545 - 647ms/epoch - 5ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9811 - val_loss: 0.1700 - val_categorical_accuracy: 0.9578 - 701ms/epoch - 5ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9723 - val_loss: 0.1685 - val_categorical_accuracy: 0.9561 - 652ms/epoch - 5ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9819 - val_loss: 0.2036 - val_categorical_accuracy: 0.9450 - 638ms/epoch - 5ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9810 - val_loss: 0.1754 - val_categorical_accuracy: 0.9565 - 653ms/epoch - 5ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9818 - val_loss: 0.1834 - val_categorical_accuracy: 0.9522 - 621ms/epoch - 4ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9805 - val_loss: 0.1605 - val_categorical_accuracy: 0.9614 - 683ms/epoch - 5ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9814 - val_loss: 0.1636 - val_categorical_accuracy: 0.9575 - 671ms/epoch - 5ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9812 - val_loss: 0.1720 - val_categorical_accuracy: 0.9568 - 639ms/epoch - 5ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9816 - val_loss: 0.1617 - val_categorical_accuracy: 0.9605 - 666ms/epoch - 5ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.1170 - categorical_accuracy: 0.9672 - val_loss: 0.1894 - val_categorical_accuracy: 0.9461 - 639ms/epoch - 5ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9796 - val_loss: 0.1601 - val_categorical_accuracy: 0.9576 - 653ms/epoch - 5ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9818 - val_loss: 0.1615 - val_categorical_accuracy: 0.9585 - 701ms/epoch - 5ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9819 - val_loss: 0.1648 - val_categorical_accuracy: 0.9585 - 654ms/epoch - 5ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9813 - val_loss: 0.1755 - val_categorical_accuracy: 0.9542 - 639ms/epoch - 5ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9815 - val_loss: 0.1741 - val_categorical_accuracy: 0.9548 - 669ms/epoch - 5ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9819 - val_loss: 0.1732 - val_categorical_accuracy: 0.9583 - 685ms/epoch - 5ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9816 - val_loss: 0.1707 - val_categorical_accuracy: 0.9583 - 668ms/epoch - 5ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0963 - categorical_accuracy: 0.9713 - val_loss: 0.1536 - val_categorical_accuracy: 0.9589 - 654ms/epoch - 5ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9822 - val_loss: 0.1555 - val_categorical_accuracy: 0.9609 - 666ms/epoch - 5ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9825 - val_loss: 0.1670 - val_categorical_accuracy: 0.9581 - 637ms/epoch - 5ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9825 - val_loss: 0.1790 - val_categorical_accuracy: 0.9570 - 684ms/epoch - 5ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9819 - val_loss: 0.1687 - val_categorical_accuracy: 0.9583 - 654ms/epoch - 5ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9822 - val_loss: 0.1672 - val_categorical_accuracy: 0.9601 - 639ms/epoch - 5ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0822 - categorical_accuracy: 0.9745 - val_loss: 0.1511 - val_categorical_accuracy: 0.9627 - 654ms/epoch - 5ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9826 - val_loss: 0.1809 - val_categorical_accuracy: 0.9570 - 653ms/epoch - 5ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9814 - val_loss: 0.1826 - val_categorical_accuracy: 0.9546 - 655ms/epoch - 5ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9818 - val_loss: 0.1596 - val_categorical_accuracy: 0.9588 - 662ms/epoch - 5ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0787 - categorical_accuracy: 0.9744 - val_loss: 0.1668 - val_categorical_accuracy: 0.9558 - 651ms/epoch - 5ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9824 - val_loss: 0.1689 - val_categorical_accuracy: 0.9583 - 636ms/epoch - 5ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9830 - val_loss: 0.1733 - val_categorical_accuracy: 0.9558 - 683ms/epoch - 5ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1676 - val_categorical_accuracy: 0.9585 - 670ms/epoch - 5ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9822 - val_loss: 0.1758 - val_categorical_accuracy: 0.9592 - 639ms/epoch - 5ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.1604 - val_categorical_accuracy: 0.9602 - 670ms/epoch - 5ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9824 - val_loss: 0.1733 - val_categorical_accuracy: 0.9568 - 652ms/epoch - 5ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.1663 - val_categorical_accuracy: 0.9595 - 655ms/epoch - 5ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9826 - val_loss: 0.1723 - val_categorical_accuracy: 0.9591 - 670ms/epoch - 5ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9823 - val_loss: 0.1860 - val_categorical_accuracy: 0.9565 - 650ms/epoch - 5ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.1419 - categorical_accuracy: 0.9613 - val_loss: 0.1648 - val_categorical_accuracy: 0.9591 - 668ms/epoch - 5ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9829 - val_loss: 0.1579 - val_categorical_accuracy: 0.9621 - 656ms/epoch - 5ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9824 - val_loss: 0.1650 - val_categorical_accuracy: 0.9596 - 639ms/epoch - 5ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9823 - val_loss: 0.1697 - val_categorical_accuracy: 0.9588 - 670ms/epoch - 5ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9827 - val_loss: 0.1697 - val_categorical_accuracy: 0.9563 - 683ms/epoch - 5ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9832 - val_loss: 0.1806 - val_categorical_accuracy: 0.9534 - 638ms/epoch - 5ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9818 - val_loss: 0.1680 - val_categorical_accuracy: 0.9572 - 639ms/epoch - 5ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.1059 - categorical_accuracy: 0.9692 - val_loss: 0.1739 - val_categorical_accuracy: 0.9562 - 654ms/epoch - 5ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9832 - val_loss: 0.1565 - val_categorical_accuracy: 0.9614 - 655ms/epoch - 5ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9834 - val_loss: 0.1692 - val_categorical_accuracy: 0.9605 - 671ms/epoch - 5ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9825 - val_loss: 0.1869 - val_categorical_accuracy: 0.9566 - 654ms/epoch - 5ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9801 - val_loss: 0.1957 - val_categorical_accuracy: 0.9491 - 638ms/epoch - 5ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9823 - val_loss: 0.1752 - val_categorical_accuracy: 0.9575 - 667ms/epoch - 5ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9826 - val_loss: 0.1699 - val_categorical_accuracy: 0.9582 - 684ms/epoch - 5ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1706 - val_categorical_accuracy: 0.9580 - 680ms/epoch - 5ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9788 - val_loss: 0.1984 - val_categorical_accuracy: 0.9481 - 649ms/epoch - 5ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.1657 - val_categorical_accuracy: 0.9596 - 653ms/epoch - 5ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9827 - val_loss: 0.1624 - val_categorical_accuracy: 0.9622 - 637ms/epoch - 5ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9750 - val_loss: 0.1528 - val_categorical_accuracy: 0.9601 - 687ms/epoch - 5ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9829 - val_loss: 0.1659 - val_categorical_accuracy: 0.9587 - 653ms/epoch - 5ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9830 - val_loss: 0.1653 - val_categorical_accuracy: 0.9604 - 634ms/epoch - 4ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9831 - val_loss: 0.1856 - val_categorical_accuracy: 0.9565 - 667ms/epoch - 5ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9812 - val_loss: 0.1598 - val_categorical_accuracy: 0.9627 - 656ms/epoch - 5ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9835 - val_loss: 0.1775 - val_categorical_accuracy: 0.9555 - 639ms/epoch - 5ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1804 - val_categorical_accuracy: 0.9572 - 669ms/epoch - 5ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9824 - val_loss: 0.1761 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9828 - val_loss: 0.1767 - val_categorical_accuracy: 0.9567 - 637ms/epoch - 5ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9831 - val_loss: 0.2578 - val_categorical_accuracy: 0.9359 - 636ms/epoch - 5ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.1012 - categorical_accuracy: 0.9706 - val_loss: 0.1607 - val_categorical_accuracy: 0.9603 - 639ms/epoch - 5ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9815 - val_loss: 0.1676 - val_categorical_accuracy: 0.9572 - 654ms/epoch - 5ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.1625 - val_categorical_accuracy: 0.9592 - 670ms/epoch - 5ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9817 - val_loss: 0.1959 - val_categorical_accuracy: 0.9479 - 638ms/epoch - 5ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9819 - val_loss: 0.1747 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.1796 - val_categorical_accuracy: 0.9589 - 668ms/epoch - 5ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9835 - val_loss: 0.1622 - val_categorical_accuracy: 0.9610 - 652ms/epoch - 5ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0819 - categorical_accuracy: 0.9746 - val_loss: 0.1606 - val_categorical_accuracy: 0.9611 - 669ms/epoch - 5ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9837 - val_loss: 0.1658 - val_categorical_accuracy: 0.9595 - 656ms/epoch - 5ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9832 - val_loss: 0.1635 - val_categorical_accuracy: 0.9607 - 639ms/epoch - 5ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.1665 - val_categorical_accuracy: 0.9595 - 698ms/epoch - 5ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9829 - val_loss: 0.2528 - val_categorical_accuracy: 0.9378 - 685ms/epoch - 5ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0979 - categorical_accuracy: 0.9713 - val_loss: 0.1754 - val_categorical_accuracy: 0.9566 - 637ms/epoch - 5ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9835 - val_loss: 0.1672 - val_categorical_accuracy: 0.9608 - 653ms/epoch - 5ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1736 - val_categorical_accuracy: 0.9603 - 654ms/epoch - 5ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9831 - val_loss: 0.1679 - val_categorical_accuracy: 0.9616 - 704ms/epoch - 5ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9843 - val_loss: 0.1691 - val_categorical_accuracy: 0.9579 - 655ms/epoch - 5ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9837 - val_loss: 0.1867 - val_categorical_accuracy: 0.9566 - 686ms/epoch - 5ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9831 - val_loss: 0.1725 - val_categorical_accuracy: 0.9609 - 638ms/epoch - 5ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.1876 - val_categorical_accuracy: 0.9558 - 651ms/epoch - 5ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.1100 - categorical_accuracy: 0.9694 - val_loss: 0.1941 - val_categorical_accuracy: 0.9427 - 678ms/epoch - 5ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9803 - val_loss: 0.1590 - val_categorical_accuracy: 0.9616 - 635ms/epoch - 5ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9830 - val_loss: 0.1595 - val_categorical_accuracy: 0.9621 - 669ms/epoch - 5ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9842 - val_loss: 0.1693 - val_categorical_accuracy: 0.9584 - 638ms/epoch - 5ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9844 - val_loss: 0.1659 - val_categorical_accuracy: 0.9616 - 637ms/epoch - 5ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9840 - val_loss: 0.1630 - val_categorical_accuracy: 0.9622 - 669ms/epoch - 5ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0802 - categorical_accuracy: 0.9755 - val_loss: 0.1618 - val_categorical_accuracy: 0.9594 - 669ms/epoch - 5ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9839 - val_loss: 0.1736 - val_categorical_accuracy: 0.9592 - 655ms/epoch - 5ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9841 - val_loss: 0.1808 - val_categorical_accuracy: 0.9586 - 653ms/epoch - 5ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9838 - val_loss: 0.1817 - val_categorical_accuracy: 0.9574 - 829ms/epoch - 6ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.1972 - val_categorical_accuracy: 0.9531 - 636ms/epoch - 5ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9836 - val_loss: 0.1730 - val_categorical_accuracy: 0.9607 - 670ms/epoch - 5ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9842 - val_loss: 0.1710 - val_categorical_accuracy: 0.9598 - 670ms/epoch - 5ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9829 - val_loss: 0.1700 - val_categorical_accuracy: 0.9594 - 639ms/epoch - 5ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9829 - val_loss: 0.1788 - val_categorical_accuracy: 0.9611 - 653ms/epoch - 5ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9838 - val_loss: 0.1967 - val_categorical_accuracy: 0.9538 - 666ms/epoch - 5ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9833 - val_loss: 0.1702 - val_categorical_accuracy: 0.9614 - 671ms/epoch - 5ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.1783 - val_categorical_accuracy: 0.9596 - 682ms/epoch - 5ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9840 - val_loss: 0.1696 - val_categorical_accuracy: 0.9609 - 655ms/epoch - 5ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0746 - categorical_accuracy: 0.9769 - val_loss: 0.4304 - val_categorical_accuracy: 0.8912 - 652ms/epoch - 5ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9801 - val_loss: 0.1716 - val_categorical_accuracy: 0.9577 - 671ms/epoch - 5ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9842 - val_loss: 0.1810 - val_categorical_accuracy: 0.9589 - 685ms/epoch - 5ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9838 - val_loss: 0.1733 - val_categorical_accuracy: 0.9597 - 652ms/epoch - 5ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9840 - val_loss: 0.1682 - val_categorical_accuracy: 0.9611 - 666ms/epoch - 5ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.1970 - val_categorical_accuracy: 0.9533 - 656ms/epoch - 5ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9832 - val_loss: 0.2101 - val_categorical_accuracy: 0.9529 - 639ms/epoch - 5ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9835 - val_loss: 0.1724 - val_categorical_accuracy: 0.9602 - 717ms/epoch - 5ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.1074 - categorical_accuracy: 0.9691 - val_loss: 0.1629 - val_categorical_accuracy: 0.9589 - 667ms/epoch - 5ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9841 - val_loss: 0.1791 - val_categorical_accuracy: 0.9584 - 652ms/epoch - 5ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9840 - val_loss: 0.1680 - val_categorical_accuracy: 0.9613 - 638ms/epoch - 5ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9842 - val_loss: 0.1894 - val_categorical_accuracy: 0.9577 - 670ms/epoch - 5ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9839 - val_loss: 0.2062 - val_categorical_accuracy: 0.9547 - 684ms/epoch - 5ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9818 - val_loss: 0.1824 - val_categorical_accuracy: 0.9578 - 654ms/epoch - 5ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9820 - val_loss: 0.1802 - val_categorical_accuracy: 0.9586 - 671ms/epoch - 5ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1808 - val_categorical_accuracy: 0.9597 - 623ms/epoch - 4ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.1849 - val_categorical_accuracy: 0.9593 - 638ms/epoch - 5ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1799 - val_categorical_accuracy: 0.9585 - 703ms/epoch - 5ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9837 - val_loss: 0.1697 - val_categorical_accuracy: 0.9631 - 653ms/epoch - 5ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9845 - val_loss: 0.1722 - val_categorical_accuracy: 0.9619 - 670ms/epoch - 5ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.1648 - categorical_accuracy: 0.9541 - val_loss: 0.1690 - val_categorical_accuracy: 0.9562 - 656ms/epoch - 5ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9829 - val_loss: 0.1593 - val_categorical_accuracy: 0.9622 - 639ms/epoch - 5ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9841 - val_loss: 0.1827 - val_categorical_accuracy: 0.9574 - 699ms/epoch - 5ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9839 - val_loss: 0.1783 - val_categorical_accuracy: 0.9569 - 685ms/epoch - 5ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.1866 - val_categorical_accuracy: 0.9592 - 639ms/epoch - 5ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9833 - val_loss: 0.1745 - val_categorical_accuracy: 0.9603 - 654ms/epoch - 5ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9835 - val_loss: 0.2294 - val_categorical_accuracy: 0.9482 - 652ms/epoch - 5ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9809 - val_loss: 0.1716 - val_categorical_accuracy: 0.9606 - 669ms/epoch - 5ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.1761 - val_categorical_accuracy: 0.9595 - 680ms/epoch - 5ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9836 - val_loss: 0.1755 - val_categorical_accuracy: 0.9591 - 672ms/epoch - 5ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0878 - categorical_accuracy: 0.9741 - val_loss: 0.1602 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9834 - val_loss: 0.1677 - val_categorical_accuracy: 0.9599 - 670ms/epoch - 5ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.1755 - val_categorical_accuracy: 0.9604 - 685ms/epoch - 5ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9838 - val_loss: 0.1831 - val_categorical_accuracy: 0.9600 - 669ms/epoch - 5ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9846 - val_loss: 0.1739 - val_categorical_accuracy: 0.9591 - 668ms/epoch - 5ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9834 - val_loss: 0.1703 - val_categorical_accuracy: 0.9631 - 656ms/epoch - 5ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1813 - val_categorical_accuracy: 0.9599 - 621ms/epoch - 4ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.3971 - val_categorical_accuracy: 0.9109 - 698ms/epoch - 5ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.1055 - categorical_accuracy: 0.9700 - val_loss: 0.1763 - val_categorical_accuracy: 0.9571 - 668ms/epoch - 5ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.1813 - val_categorical_accuracy: 0.9558 - 638ms/epoch - 5ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.1690 - val_categorical_accuracy: 0.9602 - 654ms/epoch - 5ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1774 - val_categorical_accuracy: 0.9596 - 636ms/epoch - 5ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.1745 - val_categorical_accuracy: 0.9608 - 670ms/epoch - 5ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.1764 - val_categorical_accuracy: 0.9604 - 667ms/epoch - 5ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9836 - val_loss: 0.1792 - val_categorical_accuracy: 0.9617 - 652ms/epoch - 5ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.1992 - val_categorical_accuracy: 0.9545 - 654ms/epoch - 5ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.1933 - val_categorical_accuracy: 0.9587 - 653ms/epoch - 5ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9840 - val_loss: 0.1850 - val_categorical_accuracy: 0.9571 - 686ms/epoch - 5ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.1797 - val_categorical_accuracy: 0.9616 - 639ms/epoch - 5ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9781 - val_loss: 0.1723 - val_categorical_accuracy: 0.9546 - 664ms/epoch - 5ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.1673 - val_categorical_accuracy: 0.9615 - 655ms/epoch - 5ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.1680 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9846 - val_loss: 0.2149 - val_categorical_accuracy: 0.9492 - 715ms/epoch - 5ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9844 - val_loss: 0.1815 - val_categorical_accuracy: 0.9587 - 652ms/epoch - 5ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9842 - val_loss: 0.1912 - val_categorical_accuracy: 0.9568 - 639ms/epoch - 5ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.2015 - val_categorical_accuracy: 0.9569 - 671ms/epoch - 5ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1921 - val_categorical_accuracy: 0.9554 - 638ms/epoch - 5ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9842 - val_loss: 0.1786 - val_categorical_accuracy: 0.9599 - 671ms/epoch - 5ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.1797 - val_categorical_accuracy: 0.9584 - 653ms/epoch - 5ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9830 - val_loss: 0.1714 - val_categorical_accuracy: 0.9604 - 639ms/epoch - 5ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9841 - val_loss: 0.1983 - val_categorical_accuracy: 0.9584 - 650ms/epoch - 5ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1836 - val_categorical_accuracy: 0.9617 - 655ms/epoch - 5ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9834 - val_loss: 0.2154 - val_categorical_accuracy: 0.9508 - 652ms/epoch - 5ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1907 - val_categorical_accuracy: 0.9585 - 655ms/epoch - 5ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9836 - val_loss: 0.2055 - val_categorical_accuracy: 0.9527 - 686ms/epoch - 5ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9814 - val_loss: 2.8189 - val_categorical_accuracy: 0.6590 - 656ms/epoch - 5ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.1138 - categorical_accuracy: 0.9660 - val_loss: 0.1680 - val_categorical_accuracy: 0.9597 - 669ms/epoch - 5ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9844 - val_loss: 0.1632 - val_categorical_accuracy: 0.9621 - 702ms/epoch - 5ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1699 - val_categorical_accuracy: 0.9610 - 651ms/epoch - 5ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.1776 - val_categorical_accuracy: 0.9599 - 649ms/epoch - 5ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9802 - val_loss: 0.2501 - val_categorical_accuracy: 0.9290 - 664ms/epoch - 5ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9827 - val_loss: 0.1788 - val_categorical_accuracy: 0.9597 - 652ms/epoch - 5ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1729 - val_categorical_accuracy: 0.9619 - 682ms/epoch - 5ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1770 - val_categorical_accuracy: 0.9588 - 667ms/epoch - 5ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1821 - val_categorical_accuracy: 0.9595 - 632ms/epoch - 4ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.1899 - val_categorical_accuracy: 0.9585 - 648ms/epoch - 5ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9846 - val_loss: 0.1858 - val_categorical_accuracy: 0.9587 - 667ms/epoch - 5ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1907 - val_categorical_accuracy: 0.9552 - 668ms/epoch - 5ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9844 - val_loss: 0.1820 - val_categorical_accuracy: 0.9609 - 652ms/epoch - 5ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.1867 - val_categorical_accuracy: 0.9606 - 651ms/epoch - 5ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.1786 - val_categorical_accuracy: 0.9601 - 638ms/epoch - 5ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9841 - val_loss: 0.1739 - val_categorical_accuracy: 0.9625 - 655ms/epoch - 5ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9841 - val_loss: 0.1795 - val_categorical_accuracy: 0.9614 - 672ms/epoch - 5ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1784 - val_categorical_accuracy: 0.9610 - 651ms/epoch - 5ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.1826 - val_categorical_accuracy: 0.9613 - 652ms/epoch - 5ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.1962 - val_categorical_accuracy: 0.9587 - 668ms/epoch - 5ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9829 - val_loss: 0.2311 - val_categorical_accuracy: 0.9512 - 639ms/epoch - 5ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.1023 - categorical_accuracy: 0.9706 - val_loss: 0.1725 - val_categorical_accuracy: 0.9599 - 697ms/epoch - 5ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.1706 - val_categorical_accuracy: 0.9615 - 652ms/epoch - 5ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.1862 - val_categorical_accuracy: 0.9580 - 639ms/epoch - 5ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9835 - val_loss: 0.1800 - val_categorical_accuracy: 0.9606 - 669ms/epoch - 5ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9846 - val_loss: 0.1859 - val_categorical_accuracy: 0.9592 - 650ms/epoch - 5ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.1832 - val_categorical_accuracy: 0.9593 - 654ms/epoch - 5ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1819 - val_categorical_accuracy: 0.9616 - 684ms/epoch - 5ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.1821 - val_categorical_accuracy: 0.9600 - 648ms/epoch - 5ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.2872 - categorical_accuracy: 0.9189 - val_loss: 0.2269 - val_categorical_accuracy: 0.9295 - 638ms/epoch - 5ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0888 - categorical_accuracy: 0.9693 - val_loss: 0.1653 - val_categorical_accuracy: 0.9573 - 654ms/epoch - 5ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9818 - val_loss: 0.1622 - val_categorical_accuracy: 0.9595 - 682ms/epoch - 5ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1736 - val_categorical_accuracy: 0.9581 - 649ms/epoch - 5ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9839 - val_loss: 0.1956 - val_categorical_accuracy: 0.9530 - 647ms/epoch - 5ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9839 - val_loss: 0.1728 - val_categorical_accuracy: 0.9590 - 651ms/epoch - 5ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9846 - val_loss: 0.1781 - val_categorical_accuracy: 0.9589 - 637ms/epoch - 5ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.1759 - val_categorical_accuracy: 0.9625 - 665ms/epoch - 5ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9851 - val_loss: 0.1742 - val_categorical_accuracy: 0.9623 - 653ms/epoch - 5ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9845 - val_loss: 0.1746 - val_categorical_accuracy: 0.9601 - 638ms/epoch - 5ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1795 - val_categorical_accuracy: 0.9591 - 653ms/epoch - 5ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1729 - val_categorical_accuracy: 0.9626 - 637ms/epoch - 5ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1701 - val_categorical_accuracy: 0.9628 - 668ms/epoch - 5ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1891 - val_categorical_accuracy: 0.9616 - 671ms/epoch - 5ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.1824 - val_categorical_accuracy: 0.9593 - 639ms/epoch - 5ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1784 - val_categorical_accuracy: 0.9609 - 635ms/epoch - 5ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.1168 - categorical_accuracy: 0.9681 - val_loss: 0.1677 - val_categorical_accuracy: 0.9538 - 655ms/epoch - 5ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9832 - val_loss: 0.1610 - val_categorical_accuracy: 0.9618 - 686ms/epoch - 5ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.1695 - val_categorical_accuracy: 0.9609 - 655ms/epoch - 5ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1705 - val_categorical_accuracy: 0.9627 - 651ms/epoch - 5ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.1763 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1746 - val_categorical_accuracy: 0.9620 - 670ms/epoch - 5ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.1773 - val_categorical_accuracy: 0.9628 - 686ms/epoch - 5ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.1826 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.2042 - categorical_accuracy: 0.9464 - val_loss: 0.3366 - val_categorical_accuracy: 0.8913 - 655ms/epoch - 5ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.1059 - categorical_accuracy: 0.9633 - val_loss: 0.2142 - val_categorical_accuracy: 0.9459 - 640ms/epoch - 5ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9822 - val_loss: 0.1845 - val_categorical_accuracy: 0.9564 - 653ms/epoch - 5ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1686 - val_categorical_accuracy: 0.9590 - 684ms/epoch - 5ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1734 - val_categorical_accuracy: 0.9616 - 681ms/epoch - 5ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9852 - val_loss: 0.1808 - val_categorical_accuracy: 0.9594 - 653ms/epoch - 5ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1830 - val_categorical_accuracy: 0.9588 - 654ms/epoch - 5ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9848 - val_loss: 0.1914 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1860 - val_categorical_accuracy: 0.9578 - 669ms/epoch - 5ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.1846 - val_categorical_accuracy: 0.9581 - 667ms/epoch - 5ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9842 - val_loss: 0.1784 - val_categorical_accuracy: 0.9620 - 656ms/epoch - 5ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.1869 - val_categorical_accuracy: 0.9568 - 636ms/epoch - 5ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.1898 - val_categorical_accuracy: 0.9567 - 670ms/epoch - 5ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1897 - val_categorical_accuracy: 0.9584 - 700ms/epoch - 5ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.1872 - val_categorical_accuracy: 0.9584 - 653ms/epoch - 5ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1834 - val_categorical_accuracy: 0.9590 - 655ms/epoch - 5ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9848 - val_loss: 0.2028 - val_categorical_accuracy: 0.9537 - 652ms/epoch - 5ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1757 - val_categorical_accuracy: 0.9633 - 635ms/epoch - 5ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9817 - val_loss: 0.1746 - val_categorical_accuracy: 0.9596 - 720ms/epoch - 5ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.1901 - val_categorical_accuracy: 0.9585 - 671ms/epoch - 5ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1835 - val_categorical_accuracy: 0.9589 - 639ms/epoch - 5ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9855 - val_loss: 0.1797 - val_categorical_accuracy: 0.9606 - 654ms/epoch - 5ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9783 - val_loss: 0.1803 - val_categorical_accuracy: 0.9588 - 651ms/epoch - 5ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.1688 - val_categorical_accuracy: 0.9638 - 669ms/epoch - 5ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9854 - val_loss: 0.1782 - val_categorical_accuracy: 0.9622 - 686ms/epoch - 5ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.1747 - val_categorical_accuracy: 0.9624 - 650ms/epoch - 5ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1819 - val_categorical_accuracy: 0.9630 - 633ms/epoch - 4ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9855 - val_loss: 0.1899 - val_categorical_accuracy: 0.9599 - 682ms/epoch - 5ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9848 - val_loss: 0.1825 - val_categorical_accuracy: 0.9592 - 648ms/epoch - 5ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9842 - val_loss: 0.1972 - val_categorical_accuracy: 0.9589 - 648ms/epoch - 5ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1823 - val_categorical_accuracy: 0.9628 - 670ms/epoch - 5ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1930 - val_categorical_accuracy: 0.9609 - 635ms/epoch - 5ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1791 - val_categorical_accuracy: 0.9617 - 669ms/epoch - 5ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.1825 - val_categorical_accuracy: 0.9622 - 669ms/epoch - 5ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9853 - val_loss: 0.1837 - val_categorical_accuracy: 0.9607 - 652ms/epoch - 5ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.1948 - val_categorical_accuracy: 0.9585 - 652ms/epoch - 5ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.2155 - val_categorical_accuracy: 0.9508 - 655ms/epoch - 5ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9845 - val_loss: 0.2129 - val_categorical_accuracy: 0.9544 - 640ms/epoch - 5ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9844 - val_loss: 0.1901 - val_categorical_accuracy: 0.9574 - 670ms/epoch - 5ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9842 - val_loss: 0.1913 - val_categorical_accuracy: 0.9603 - 652ms/epoch - 5ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9842 - val_loss: 0.1864 - val_categorical_accuracy: 0.9626 - 636ms/epoch - 5ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9850 - val_loss: 0.1839 - val_categorical_accuracy: 0.9601 - 653ms/epoch - 5ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1941 - val_categorical_accuracy: 0.9607 - 656ms/epoch - 5ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1845 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1983 - val_categorical_accuracy: 0.9582 - 700ms/epoch - 5ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.1855 - val_categorical_accuracy: 0.9622 - 685ms/epoch - 5ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.1812 - val_categorical_accuracy: 0.9636 - 639ms/epoch - 5ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.1122 - categorical_accuracy: 0.9689 - val_loss: 0.1737 - val_categorical_accuracy: 0.9596 - 668ms/epoch - 5ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.1919 - val_categorical_accuracy: 0.9610 - 667ms/epoch - 5ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.1801 - val_categorical_accuracy: 0.9622 - 638ms/epoch - 5ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9854 - val_loss: 0.1836 - val_categorical_accuracy: 0.9619 - 654ms/epoch - 5ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9833 - val_loss: 0.3089 - val_categorical_accuracy: 0.9253 - 649ms/epoch - 5ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9801 - val_loss: 0.1775 - val_categorical_accuracy: 0.9617 - 624ms/epoch - 4ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.1803 - val_categorical_accuracy: 0.9626 - 655ms/epoch - 5ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.1883 - val_categorical_accuracy: 0.9609 - 653ms/epoch - 5ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9856 - val_loss: 0.1818 - val_categorical_accuracy: 0.9627 - 637ms/epoch - 5ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1906 - val_categorical_accuracy: 0.9600 - 653ms/epoch - 5ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.1894 - val_categorical_accuracy: 0.9611 - 636ms/epoch - 5ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.1854 - val_categorical_accuracy: 0.9593 - 655ms/epoch - 5ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1843 - val_categorical_accuracy: 0.9626 - 656ms/epoch - 5ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.1888 - val_categorical_accuracy: 0.9628 - 636ms/epoch - 5ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.1880 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2035 - val_categorical_accuracy: 0.9536 - 687ms/epoch - 5ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.2256 - val_categorical_accuracy: 0.9506 - 651ms/epoch - 5ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.1960 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.1906 - val_categorical_accuracy: 0.9607 - 654ms/epoch - 5ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9855 - val_loss: 0.1948 - val_categorical_accuracy: 0.9602 - 639ms/epoch - 5ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9855 - val_loss: 0.2103 - val_categorical_accuracy: 0.9562 - 654ms/epoch - 5ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9852 - val_loss: 0.1865 - val_categorical_accuracy: 0.9616 - 653ms/epoch - 5ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1947 - val_categorical_accuracy: 0.9605 - 624ms/epoch - 4ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9852 - val_loss: 0.1930 - val_categorical_accuracy: 0.9609 - 653ms/epoch - 5ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.1870 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9853 - val_loss: 0.1837 - val_categorical_accuracy: 0.9623 - 637ms/epoch - 5ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.1566 - categorical_accuracy: 0.9567 - val_loss: 0.1690 - val_categorical_accuracy: 0.9582 - 671ms/epoch - 5ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.1691 - val_categorical_accuracy: 0.9617 - 638ms/epoch - 5ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.1690 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.1801 - val_categorical_accuracy: 0.9618 - 664ms/epoch - 5ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.1851 - val_categorical_accuracy: 0.9584 - 652ms/epoch - 5ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.1954 - val_categorical_accuracy: 0.9586 - 650ms/epoch - 5ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.2240 - val_categorical_accuracy: 0.9498 - 656ms/epoch - 5ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9849 - val_loss: 0.2060 - val_categorical_accuracy: 0.9566 - 624ms/epoch - 4ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2046 - val_categorical_accuracy: 0.9543 - 653ms/epoch - 5ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.1858 - val_categorical_accuracy: 0.9608 - 666ms/epoch - 5ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.1960 - val_categorical_accuracy: 0.9590 - 634ms/epoch - 4ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1935 - val_categorical_accuracy: 0.9596 - 652ms/epoch - 5ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1914 - val_categorical_accuracy: 0.9616 - 654ms/epoch - 5ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9838 - val_loss: 0.1830 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.1873 - val_categorical_accuracy: 0.9622 - 635ms/epoch - 5ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1901 - val_categorical_accuracy: 0.9621 - 654ms/epoch - 5ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1931 - val_categorical_accuracy: 0.9601 - 815ms/epoch - 6ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.1843 - val_categorical_accuracy: 0.9630 - 637ms/epoch - 5ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9856 - val_loss: 0.2905 - val_categorical_accuracy: 0.9387 - 668ms/epoch - 5ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.4145 - categorical_accuracy: 0.8770 - val_loss: 0.2007 - val_categorical_accuracy: 0.9451 - 636ms/epoch - 5ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9774 - val_loss: 0.1721 - val_categorical_accuracy: 0.9583 - 672ms/epoch - 5ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.1747 - val_categorical_accuracy: 0.9608 - 671ms/epoch - 5ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9847 - val_loss: 0.1754 - val_categorical_accuracy: 0.9603 - 636ms/epoch - 5ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9846 - val_loss: 0.1751 - val_categorical_accuracy: 0.9621 - 653ms/epoch - 5ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1816 - val_categorical_accuracy: 0.9603 - 656ms/epoch - 5ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.1884 - val_categorical_accuracy: 0.9599 - 639ms/epoch - 5ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.2130 - val_categorical_accuracy: 0.9550 - 654ms/epoch - 5ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.1951 - val_categorical_accuracy: 0.9570 - 654ms/epoch - 5ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.1811 - val_categorical_accuracy: 0.9627 - 654ms/epoch - 5ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1795 - val_categorical_accuracy: 0.9625 - 670ms/epoch - 5ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1862 - val_categorical_accuracy: 0.9618 - 653ms/epoch - 5ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1838 - val_categorical_accuracy: 0.9628 - 653ms/epoch - 5ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.1370 - categorical_accuracy: 0.9633 - val_loss: 0.1732 - val_categorical_accuracy: 0.9601 - 654ms/epoch - 5ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9848 - val_loss: 0.1730 - val_categorical_accuracy: 0.9608 - 656ms/epoch - 5ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9858 - val_loss: 0.1786 - val_categorical_accuracy: 0.9617 - 637ms/epoch - 5ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1780 - val_categorical_accuracy: 0.9620 - 669ms/epoch - 5ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1779 - val_categorical_accuracy: 0.9622 - 654ms/epoch - 5ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.1829 - val_categorical_accuracy: 0.9617 - 652ms/epoch - 5ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.1848 - val_categorical_accuracy: 0.9621 - 688ms/epoch - 5ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1793 - val_categorical_accuracy: 0.9628 - 638ms/epoch - 5ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1912 - val_categorical_accuracy: 0.9605 - 639ms/epoch - 5ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.1929 - val_categorical_accuracy: 0.9584 - 651ms/epoch - 5ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.1874 - val_categorical_accuracy: 0.9601 - 652ms/epoch - 5ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2252 - val_categorical_accuracy: 0.9544 - 656ms/epoch - 5ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.1766 - val_categorical_accuracy: 0.9640 - 654ms/epoch - 5ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1912 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1910 - val_categorical_accuracy: 0.9613 - 654ms/epoch - 5ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2026 - val_categorical_accuracy: 0.9593 - 672ms/epoch - 5ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.1904 - val_categorical_accuracy: 0.9595 - 638ms/epoch - 5ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2133 - val_categorical_accuracy: 0.9571 - 635ms/epoch - 5ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.1995 - val_categorical_accuracy: 0.9617 - 652ms/epoch - 5ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1916 - val_categorical_accuracy: 0.9614 - 636ms/epoch - 5ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.1876 - val_categorical_accuracy: 0.9610 - 682ms/epoch - 5ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.1891 - val_categorical_accuracy: 0.9615 - 656ms/epoch - 5ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.2156 - val_categorical_accuracy: 0.9577 - 637ms/epoch - 5ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2042 - val_categorical_accuracy: 0.9567 - 683ms/epoch - 5ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.2179 - val_categorical_accuracy: 0.9536 - 670ms/epoch - 5ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1888 - val_categorical_accuracy: 0.9620 - 652ms/epoch - 5ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9758 - val_loss: 0.1694 - val_categorical_accuracy: 0.9632 - 653ms/epoch - 5ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1857 - val_categorical_accuracy: 0.9605 - 655ms/epoch - 5ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2022 - val_categorical_accuracy: 0.9548 - 637ms/epoch - 5ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1905 - val_categorical_accuracy: 0.9587 - 666ms/epoch - 5ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.1909 - val_categorical_accuracy: 0.9607 - 668ms/epoch - 5ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.1827 - val_categorical_accuracy: 0.9614 - 669ms/epoch - 5ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.1896 - val_categorical_accuracy: 0.9627 - 665ms/epoch - 5ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2035 - val_categorical_accuracy: 0.9582 - 651ms/epoch - 5ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0997 - categorical_accuracy: 0.9723 - val_loss: 0.1774 - val_categorical_accuracy: 0.9615 - 636ms/epoch - 5ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1926 - val_categorical_accuracy: 0.9577 - 714ms/epoch - 5ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9864 - val_loss: 0.1770 - val_categorical_accuracy: 0.9631 - 655ms/epoch - 5ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9869 - val_loss: 0.1815 - val_categorical_accuracy: 0.9631 - 623ms/epoch - 4ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9860 - val_loss: 0.1874 - val_categorical_accuracy: 0.9608 - 667ms/epoch - 5ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.2060 - val_categorical_accuracy: 0.9564 - 647ms/epoch - 5ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2105 - val_categorical_accuracy: 0.9538 - 667ms/epoch - 5ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1921 - val_categorical_accuracy: 0.9603 - 682ms/epoch - 5ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.1896 - val_categorical_accuracy: 0.9622 - 648ms/epoch - 5ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.1858 - val_categorical_accuracy: 0.9628 - 637ms/epoch - 5ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1839 - val_categorical_accuracy: 0.9636 - 666ms/epoch - 5ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.1987 - val_categorical_accuracy: 0.9597 - 666ms/epoch - 5ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.2062 - val_categorical_accuracy: 0.9600 - 654ms/epoch - 5ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.1963 - val_categorical_accuracy: 0.9604 - 671ms/epoch - 5ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9856 - val_loss: 0.1851 - val_categorical_accuracy: 0.9614 - 655ms/epoch - 5ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2034 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2000 - val_categorical_accuracy: 0.9612 - 692ms/epoch - 5ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2131 - val_categorical_accuracy: 0.9534 - 651ms/epoch - 5ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1909 - val_categorical_accuracy: 0.9621 - 638ms/epoch - 5ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9869 - val_loss: 0.2010 - val_categorical_accuracy: 0.9610 - 680ms/epoch - 5ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1940 - val_categorical_accuracy: 0.9620 - 635ms/epoch - 5ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1969 - val_categorical_accuracy: 0.9584 - 669ms/epoch - 5ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9865 - val_loss: 0.1907 - val_categorical_accuracy: 0.9628 - 653ms/epoch - 5ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2065 - val_categorical_accuracy: 0.9579 - 638ms/epoch - 5ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1948 - val_categorical_accuracy: 0.9616 - 654ms/epoch - 5ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2038 - val_categorical_accuracy: 0.9604 - 655ms/epoch - 5ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.1975 - val_categorical_accuracy: 0.9625 - 638ms/epoch - 5ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1940 - val_categorical_accuracy: 0.9620 - 685ms/epoch - 5ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2034 - val_categorical_accuracy: 0.9614 - 655ms/epoch - 5ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1862 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9851 - val_loss: 1.0532 - val_categorical_accuracy: 0.8222 - 667ms/epoch - 5ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.1859 - categorical_accuracy: 0.9493 - val_loss: 0.1879 - val_categorical_accuracy: 0.9535 - 684ms/epoch - 5ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.1968 - val_categorical_accuracy: 0.9547 - 634ms/epoch - 4ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1886 - val_categorical_accuracy: 0.9598 - 654ms/epoch - 5ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.1893 - val_categorical_accuracy: 0.9601 - 670ms/epoch - 5ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1867 - val_categorical_accuracy: 0.9625 - 639ms/epoch - 5ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9869 - val_loss: 0.1988 - val_categorical_accuracy: 0.9607 - 668ms/epoch - 5ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.1895 - val_categorical_accuracy: 0.9599 - 667ms/epoch - 5ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.3269 - val_categorical_accuracy: 0.9354 - 636ms/epoch - 5ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9744 - val_loss: 0.1818 - val_categorical_accuracy: 0.9614 - 670ms/epoch - 5ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1842 - val_categorical_accuracy: 0.9623 - 654ms/epoch - 5ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1842 - val_categorical_accuracy: 0.9623 - 655ms/epoch - 5ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.1890 - val_categorical_accuracy: 0.9630 - 650ms/epoch - 5ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.1833 - val_categorical_accuracy: 0.9635 - 653ms/epoch - 5ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1949 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.1913 - val_categorical_accuracy: 0.9614 - 671ms/epoch - 5ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.1922 - val_categorical_accuracy: 0.9624 - 667ms/epoch - 5ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1840 - val_categorical_accuracy: 0.9627 - 667ms/epoch - 5ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1929 - val_categorical_accuracy: 0.9594 - 684ms/epoch - 5ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.2139 - val_categorical_accuracy: 0.9574 - 649ms/epoch - 5ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1961 - val_categorical_accuracy: 0.9610 - 636ms/epoch - 5ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1909 - val_categorical_accuracy: 0.9619 - 703ms/epoch - 5ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2022 - val_categorical_accuracy: 0.9599 - 653ms/epoch - 5ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1896 - val_categorical_accuracy: 0.9635 - 654ms/epoch - 5ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1995 - val_categorical_accuracy: 0.9610 - 671ms/epoch - 5ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9862 - val_loss: 0.2121 - val_categorical_accuracy: 0.9581 - 638ms/epoch - 5ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.1932 - val_categorical_accuracy: 0.9621 - 671ms/epoch - 5ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1956 - val_categorical_accuracy: 0.9619 - 684ms/epoch - 5ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.1999 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1963 - val_categorical_accuracy: 0.9603 - 656ms/epoch - 5ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2100 - val_categorical_accuracy: 0.9603 - 670ms/epoch - 5ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1992 - val_categorical_accuracy: 0.9592 - 668ms/epoch - 5ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.1954 - val_categorical_accuracy: 0.9619 - 682ms/epoch - 5ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0810 - categorical_accuracy: 0.9766 - val_loss: 0.1747 - val_categorical_accuracy: 0.9620 - 650ms/epoch - 5ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.1936 - val_categorical_accuracy: 0.9585 - 649ms/epoch - 5ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.1883 - val_categorical_accuracy: 0.9610 - 635ms/epoch - 5ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1892 - val_categorical_accuracy: 0.9626 - 685ms/epoch - 5ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1900 - val_categorical_accuracy: 0.9629 - 646ms/epoch - 5ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.2044 - val_categorical_accuracy: 0.9576 - 636ms/epoch - 5ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2034 - val_categorical_accuracy: 0.9603 - 655ms/epoch - 5ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1928 - val_categorical_accuracy: 0.9617 - 639ms/epoch - 5ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2077 - val_categorical_accuracy: 0.9573 - 654ms/epoch - 5ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2024 - val_categorical_accuracy: 0.9594 - 700ms/epoch - 5ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.2062 - val_categorical_accuracy: 0.9608 - 633ms/epoch - 4ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2059 - val_categorical_accuracy: 0.9593 - 654ms/epoch - 5ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2069 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1913 - val_categorical_accuracy: 0.9603 - 655ms/epoch - 5ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2155 - val_categorical_accuracy: 0.9588 - 676ms/epoch - 5ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2002 - val_categorical_accuracy: 0.9590 - 667ms/epoch - 5ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2043 - val_categorical_accuracy: 0.9606 - 637ms/epoch - 5ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1987 - val_categorical_accuracy: 0.9616 - 686ms/epoch - 5ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2013 - val_categorical_accuracy: 0.9600 - 719ms/epoch - 5ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2068 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2027 - val_categorical_accuracy: 0.9581 - 655ms/epoch - 5ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.1039 - categorical_accuracy: 0.9719 - val_loss: 0.1991 - val_categorical_accuracy: 0.9504 - 653ms/epoch - 5ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.1807 - val_categorical_accuracy: 0.9604 - 637ms/epoch - 5ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.2096 - val_categorical_accuracy: 0.9546 - 667ms/epoch - 5ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.1959 - val_categorical_accuracy: 0.9597 - 687ms/epoch - 5ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.1939 - val_categorical_accuracy: 0.9613 - 622ms/epoch - 4ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1945 - val_categorical_accuracy: 0.9613 - 669ms/epoch - 5ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1921 - val_categorical_accuracy: 0.9618 - 653ms/epoch - 5ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1942 - val_categorical_accuracy: 0.9613 - 683ms/epoch - 5ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0964 - categorical_accuracy: 0.9738 - val_loss: 0.1889 - val_categorical_accuracy: 0.9466 - 664ms/epoch - 5ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2015 - val_categorical_accuracy: 0.9574 - 651ms/epoch - 5ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9873 - val_loss: 0.1821 - val_categorical_accuracy: 0.9631 - 650ms/epoch - 5ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.1849 - val_categorical_accuracy: 0.9621 - 649ms/epoch - 5ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.1901 - val_categorical_accuracy: 0.9616 - 699ms/epoch - 5ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1788 - val_categorical_accuracy: 0.9639 - 639ms/epoch - 5ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1919 - val_categorical_accuracy: 0.9633 - 670ms/epoch - 5ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1879 - val_categorical_accuracy: 0.9625 - 656ms/epoch - 5ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1889 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.1908 - val_categorical_accuracy: 0.9631 - 718ms/epoch - 5ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9836 - val_loss: 0.1983 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9870 - val_loss: 0.2040 - val_categorical_accuracy: 0.9617 - 653ms/epoch - 5ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1911 - val_categorical_accuracy: 0.9630 - 669ms/epoch - 5ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2049 - val_categorical_accuracy: 0.9618 - 650ms/epoch - 5ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1946 - val_categorical_accuracy: 0.9615 - 685ms/epoch - 5ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1941 - val_categorical_accuracy: 0.9623 - 653ms/epoch - 5ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2139 - val_categorical_accuracy: 0.9574 - 639ms/epoch - 5ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.1913 - val_categorical_accuracy: 0.9626 - 654ms/epoch - 5ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2003 - val_categorical_accuracy: 0.9609 - 666ms/epoch - 5ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2005 - val_categorical_accuracy: 0.9606 - 655ms/epoch - 5ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2073 - val_categorical_accuracy: 0.9587 - 655ms/epoch - 5ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9769 - val_loss: 0.1947 - val_categorical_accuracy: 0.9520 - 653ms/epoch - 5ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.1820 - val_categorical_accuracy: 0.9627 - 647ms/epoch - 5ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9874 - val_loss: 0.1861 - val_categorical_accuracy: 0.9624 - 682ms/epoch - 5ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.1883 - val_categorical_accuracy: 0.9629 - 681ms/epoch - 5ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1958 - val_categorical_accuracy: 0.9611 - 638ms/epoch - 5ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2219 - val_categorical_accuracy: 0.9536 - 639ms/epoch - 5ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.1963 - val_categorical_accuracy: 0.9613 - 669ms/epoch - 5ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9867 - val_loss: 0.2033 - val_categorical_accuracy: 0.9589 - 667ms/epoch - 5ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2172 - val_categorical_accuracy: 0.9567 - 650ms/epoch - 5ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0759 - categorical_accuracy: 0.9775 - val_loss: 0.1963 - val_categorical_accuracy: 0.9612 - 679ms/epoch - 5ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9874 - val_loss: 0.2026 - val_categorical_accuracy: 0.9610 - 637ms/epoch - 5ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2049 - val_categorical_accuracy: 0.9599 - 671ms/epoch - 5ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2003 - val_categorical_accuracy: 0.9607 - 670ms/epoch - 5ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.1921 - val_categorical_accuracy: 0.9608 - 668ms/epoch - 5ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2186 - val_categorical_accuracy: 0.9580 - 651ms/epoch - 5ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.1894 - val_categorical_accuracy: 0.9650 - 667ms/epoch - 5ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1871 - val_categorical_accuracy: 0.9639 - 748ms/epoch - 5ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2047 - val_categorical_accuracy: 0.9614 - 662ms/epoch - 5ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2034 - val_categorical_accuracy: 0.9631 - 654ms/epoch - 5ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1929 - val_categorical_accuracy: 0.9645 - 633ms/epoch - 4ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2020 - val_categorical_accuracy: 0.9609 - 634ms/epoch - 4ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2032 - val_categorical_accuracy: 0.9588 - 655ms/epoch - 5ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.1982 - val_categorical_accuracy: 0.9611 - 642ms/epoch - 5ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.1996 - val_categorical_accuracy: 0.9620 - 648ms/epoch - 5ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1933 - val_categorical_accuracy: 0.9629 - 624ms/epoch - 4ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2065 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1951 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9802 - val_loss: 0.2025 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.2229 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1909 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1910 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1907 - val_categorical_accuracy: 0.9630 - 633ms/epoch - 4ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1931 - val_categorical_accuracy: 0.9629 - 676ms/epoch - 5ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1969 - val_categorical_accuracy: 0.9626 - 650ms/epoch - 5ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9869 - val_loss: 0.2207 - val_categorical_accuracy: 0.9572 - 629ms/epoch - 4ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.1976 - val_categorical_accuracy: 0.9622 - 648ms/epoch - 5ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.1985 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2043 - val_categorical_accuracy: 0.9619 - 650ms/epoch - 5ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2034 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2054 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2014 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.1974 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2063 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2009 - val_categorical_accuracy: 0.9608 - 670ms/epoch - 5ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0820 - categorical_accuracy: 0.9770 - val_loss: 0.2034 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.1961 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2053 - val_categorical_accuracy: 0.9607 - 660ms/epoch - 5ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.1934 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2108 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.2187 - val_categorical_accuracy: 0.9587 - 650ms/epoch - 5ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1987 - val_categorical_accuracy: 0.9640 - 630ms/epoch - 4ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2200 - val_categorical_accuracy: 0.9569 - 640ms/epoch - 5ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2098 - val_categorical_accuracy: 0.9602 - 650ms/epoch - 5ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1998 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2006 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2020 - val_categorical_accuracy: 0.9631 - 810ms/epoch - 6ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2085 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2130 - val_categorical_accuracy: 0.9596 - 670ms/epoch - 5ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2108 - val_categorical_accuracy: 0.9578 - 680ms/epoch - 5ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2116 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2035 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.2067 - val_categorical_accuracy: 0.9618 - 650ms/epoch - 5ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.1999 - val_categorical_accuracy: 0.9619 - 660ms/epoch - 5ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9869 - val_loss: 0.2151 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2368 - val_categorical_accuracy: 0.9574 - 650ms/epoch - 5ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.2078 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.2266 - val_categorical_accuracy: 0.9566 - 650ms/epoch - 5ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9793 - val_loss: 0.1879 - val_categorical_accuracy: 0.9608 - 670ms/epoch - 5ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.1997 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2018 - val_categorical_accuracy: 0.9630 - 670ms/epoch - 5ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2004 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2089 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.1956 - val_categorical_accuracy: 0.9620 - 680ms/epoch - 5ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9843 - val_loss: 0.4824 - val_categorical_accuracy: 0.8949 - 630ms/epoch - 4ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9829 - val_loss: 0.2039 - val_categorical_accuracy: 0.9606 - 650ms/epoch - 5ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.1964 - val_categorical_accuracy: 0.9635 - 660ms/epoch - 5ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.1902 - val_categorical_accuracy: 0.9639 - 630ms/epoch - 4ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2045 - val_categorical_accuracy: 0.9608 - 660ms/epoch - 5ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.1964 - val_categorical_accuracy: 0.9640 - 660ms/epoch - 5ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2008 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.1991 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2003 - val_categorical_accuracy: 0.9621 - 650ms/epoch - 5ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2032 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2068 - val_categorical_accuracy: 0.9611 - 670ms/epoch - 5ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2017 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2072 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.2410 - categorical_accuracy: 0.9352 - val_loss: 0.2200 - val_categorical_accuracy: 0.9355 - 660ms/epoch - 5ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9722 - val_loss: 0.1856 - val_categorical_accuracy: 0.9565 - 650ms/epoch - 5ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.1921 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9864 - val_loss: 0.1882 - val_categorical_accuracy: 0.9626 - 660ms/epoch - 5ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1933 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1905 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2235 - val_categorical_accuracy: 0.9522 - 670ms/epoch - 5ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.1857 - val_categorical_accuracy: 0.9643 - 640ms/epoch - 5ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2085 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.1962 - val_categorical_accuracy: 0.9622 - 650ms/epoch - 5ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2263 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2008 - val_categorical_accuracy: 0.9604 - 690ms/epoch - 5ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2157 - val_categorical_accuracy: 0.9605 - 660ms/epoch - 5ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2141 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.2062 - val_categorical_accuracy: 0.9621 - 650ms/epoch - 5ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2061 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2072 - val_categorical_accuracy: 0.9617 - 660ms/epoch - 5ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2081 - val_categorical_accuracy: 0.9626 - 680ms/epoch - 5ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2040 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.1998 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2057 - val_categorical_accuracy: 0.9621 - 660ms/epoch - 5ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1987 - val_categorical_accuracy: 0.9652 - 660ms/epoch - 5ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.1985 - val_categorical_accuracy: 0.9639 - 670ms/epoch - 5ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2298 - val_categorical_accuracy: 0.9562 - 660ms/epoch - 5ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.1949 - val_categorical_accuracy: 0.9644 - 630ms/epoch - 4ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.1970 - val_categorical_accuracy: 0.9646 - 638ms/epoch - 5ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9872 - val_loss: 0.2158 - val_categorical_accuracy: 0.9600 - 670ms/epoch - 5ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9870 - val_loss: 0.2177 - val_categorical_accuracy: 0.9599 - 660ms/epoch - 5ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.1980 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2178 - val_categorical_accuracy: 0.9589 - 650ms/epoch - 5ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2063 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2080 - val_categorical_accuracy: 0.9608 - 670ms/epoch - 5ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.3798 - val_categorical_accuracy: 0.9234 - 640ms/epoch - 5ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.1811 - categorical_accuracy: 0.9513 - val_loss: 0.1819 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.1959 - val_categorical_accuracy: 0.9617 - 660ms/epoch - 5ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.1859 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9880 - val_loss: 0.1913 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2076 - val_categorical_accuracy: 0.9592 - 660ms/epoch - 5ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2011 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2062 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2117 - val_categorical_accuracy: 0.9598 - 650ms/epoch - 5ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.1954 - val_categorical_accuracy: 0.9639 - 630ms/epoch - 4ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2059 - val_categorical_accuracy: 0.9596 - 660ms/epoch - 5ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9873 - val_loss: 0.1888 - val_categorical_accuracy: 0.9645 - 660ms/epoch - 5ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2040 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2000 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2158 - val_categorical_accuracy: 0.9603 - 670ms/epoch - 5ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.1944 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2053 - val_categorical_accuracy: 0.9614 - 660ms/epoch - 5ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2047 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.1983 - val_categorical_accuracy: 0.9638 - 630ms/epoch - 4ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2145 - val_categorical_accuracy: 0.9593 - 670ms/epoch - 5ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9872 - val_loss: 0.2035 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2010 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2083 - val_categorical_accuracy: 0.9623 - 650ms/epoch - 5ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2093 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2051 - val_categorical_accuracy: 0.9639 - 670ms/epoch - 5ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2034 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2189 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2080 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2006 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2150 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2289 - val_categorical_accuracy: 0.9584 - 660ms/epoch - 5ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2214 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2039 - val_categorical_accuracy: 0.9638 - 630ms/epoch - 4ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2028 - val_categorical_accuracy: 0.9633 - 670ms/epoch - 5ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2095 - val_categorical_accuracy: 0.9612 - 670ms/epoch - 5ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2054 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2071 - val_categorical_accuracy: 0.9611 - 680ms/epoch - 5ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2095 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2127 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2043 - val_categorical_accuracy: 0.9629 - 650ms/epoch - 5ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2079 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2058 - val_categorical_accuracy: 0.9632 - 670ms/epoch - 5ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0963 - categorical_accuracy: 0.9738 - val_loss: 0.1852 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.1983 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2013 - val_categorical_accuracy: 0.9638 - 650ms/epoch - 5ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.1990 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2465 - val_categorical_accuracy: 0.9517 - 640ms/epoch - 5ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9761 - val_loss: 0.1873 - val_categorical_accuracy: 0.9626 - 660ms/epoch - 5ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.1953 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.1922 - val_categorical_accuracy: 0.9649 - 630ms/epoch - 4ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2054 - val_categorical_accuracy: 0.9609 - 690ms/epoch - 5ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2195 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.1990 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2100 - val_categorical_accuracy: 0.9615 - 660ms/epoch - 5ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.2057 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.2032 - val_categorical_accuracy: 0.9603 - 670ms/epoch - 5ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2116 - val_categorical_accuracy: 0.9616 - 660ms/epoch - 5ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2118 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2143 - val_categorical_accuracy: 0.9588 - 650ms/epoch - 5ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2034 - val_categorical_accuracy: 0.9640 - 650ms/epoch - 5ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2325 - val_categorical_accuracy: 0.9589 - 650ms/epoch - 5ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2061 - val_categorical_accuracy: 0.9629 - 660ms/epoch - 5ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2057 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2523 - val_categorical_accuracy: 0.9519 - 620ms/epoch - 4ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2159 - val_categorical_accuracy: 0.9612 - 650ms/epoch - 5ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2056 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9877 - val_loss: 0.2127 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2158 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9750 - val_loss: 0.2198 - val_categorical_accuracy: 0.9395 - 650ms/epoch - 5ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.2048 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.1980 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1895 - val_categorical_accuracy: 0.9642 - 660ms/epoch - 5ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.1953 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2007 - val_categorical_accuracy: 0.9629 - 620ms/epoch - 4ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2545 - val_categorical_accuracy: 0.9503 - 640ms/epoch - 5ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0878 - categorical_accuracy: 0.9751 - val_loss: 0.1865 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9882 - val_loss: 0.2036 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9883 - val_loss: 0.1960 - val_categorical_accuracy: 0.9621 - 670ms/epoch - 5ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.1981 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.1972 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2034 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.1975 - val_categorical_accuracy: 0.9631 - 650ms/epoch - 5ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.1982 - val_categorical_accuracy: 0.9637 - 620ms/epoch - 4ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2084 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2150 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2043 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2047 - val_categorical_accuracy: 0.9628 - 646ms/epoch - 5ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2201 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2048 - val_categorical_accuracy: 0.9619 - 660ms/epoch - 5ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2100 - val_categorical_accuracy: 0.9639 - 650ms/epoch - 5ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2276 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9868 - val_loss: 0.1986 - val_categorical_accuracy: 0.9634 - 770ms/epoch - 5ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2148 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2078 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2147 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2062 - val_categorical_accuracy: 0.9619 - 660ms/epoch - 5ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2129 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2432 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2216 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2194 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2194 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2252 - val_categorical_accuracy: 0.9563 - 670ms/epoch - 5ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2134 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2242 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2371 - val_categorical_accuracy: 0.9559 - 650ms/epoch - 5ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.1171 - categorical_accuracy: 0.9704 - val_loss: 0.2232 - val_categorical_accuracy: 0.9401 - 630ms/epoch - 4ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9822 - val_loss: 0.1923 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9880 - val_loss: 0.1970 - val_categorical_accuracy: 0.9639 - 670ms/epoch - 5ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.1919 - val_categorical_accuracy: 0.9646 - 610ms/epoch - 4ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.1956 - val_categorical_accuracy: 0.9644 - 610ms/epoch - 4ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2080 - val_categorical_accuracy: 0.9628 - 660ms/epoch - 5ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2020 - val_categorical_accuracy: 0.9643 - 650ms/epoch - 5ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2011 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2336 - val_categorical_accuracy: 0.9559 - 650ms/epoch - 5ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2049 - val_categorical_accuracy: 0.9646 - 610ms/epoch - 4ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2130 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2295 - val_categorical_accuracy: 0.9595 - 660ms/epoch - 5ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2114 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2270 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2264 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0975 - categorical_accuracy: 0.9739 - val_loss: 0.1962 - val_categorical_accuracy: 0.9608 - 650ms/epoch - 5ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.1868 - val_categorical_accuracy: 0.9638 - 610ms/epoch - 4ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2061 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2059 - val_categorical_accuracy: 0.9623 - 650ms/epoch - 5ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2100 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2008 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2082 - val_categorical_accuracy: 0.9609 - 670ms/epoch - 5ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2140 - val_categorical_accuracy: 0.9604 - 680ms/epoch - 5ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2157 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2158 - val_categorical_accuracy: 0.9625 - 660ms/epoch - 5ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2129 - val_categorical_accuracy: 0.9621 - 660ms/epoch - 5ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2307 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2152 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2089 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2130 - val_categorical_accuracy: 0.9627 - 620ms/epoch - 4ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2074 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2151 - val_categorical_accuracy: 0.9585 - 670ms/epoch - 5ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9882 - val_loss: 0.2044 - val_categorical_accuracy: 0.9640 - 620ms/epoch - 4ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2102 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2329 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2213 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2124 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2184 - val_categorical_accuracy: 0.9617 - 670ms/epoch - 5ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2271 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2214 - val_categorical_accuracy: 0.9629 - 620ms/epoch - 4ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2214 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2137 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2369 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2262 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2210 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2101 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2282 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2116 - val_categorical_accuracy: 0.9618 - 660ms/epoch - 5ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9768 - val_loss: 0.1972 - val_categorical_accuracy: 0.9636 - 620ms/epoch - 4ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2254 - val_categorical_accuracy: 0.9558 - 650ms/epoch - 5ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2219 - val_categorical_accuracy: 0.9573 - 790ms/epoch - 6ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2127 - val_categorical_accuracy: 0.9631 - 670ms/epoch - 5ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2151 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.2111 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2132 - val_categorical_accuracy: 0.9622 - 620ms/epoch - 4ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2239 - val_categorical_accuracy: 0.9593 - 650ms/epoch - 5ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2116 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2159 - val_categorical_accuracy: 0.9621 - 660ms/epoch - 5ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2165 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2374 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2413 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2155 - val_categorical_accuracy: 0.9641 - 660ms/epoch - 5ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2197 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2110 - val_categorical_accuracy: 0.9646 - 620ms/epoch - 4ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2197 - val_categorical_accuracy: 0.9619 - 670ms/epoch - 5ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2243 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2447 - val_categorical_accuracy: 0.9543 - 650ms/epoch - 5ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.2121 - categorical_accuracy: 0.9417 - val_loss: 0.1867 - val_categorical_accuracy: 0.9600 - 650ms/epoch - 5ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2022 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1888 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2046 - val_categorical_accuracy: 0.9637 - 650ms/epoch - 5ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9887 - val_loss: 0.2224 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2031 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2004 - val_categorical_accuracy: 0.9642 - 660ms/epoch - 5ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2136 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2040 - val_categorical_accuracy: 0.9636 - 612ms/epoch - 4ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0888 - categorical_accuracy: 0.9754 - val_loss: 0.1871 - val_categorical_accuracy: 0.9642 - 660ms/epoch - 5ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2040 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.1960 - val_categorical_accuracy: 0.9641 - 610ms/epoch - 4ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2034 - val_categorical_accuracy: 0.9641 - 640ms/epoch - 5ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2018 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2022 - val_categorical_accuracy: 0.9647 - 640ms/epoch - 5ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2118 - val_categorical_accuracy: 0.9632 - 650ms/epoch - 5ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2066 - val_categorical_accuracy: 0.9639 - 620ms/epoch - 4ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.2050 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2186 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2131 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2157 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2149 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2316 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.1103 - categorical_accuracy: 0.9712 - val_loss: 0.1850 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1946 - val_categorical_accuracy: 0.9633 - 670ms/epoch - 5ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.1909 - val_categorical_accuracy: 0.9645 - 640ms/epoch - 5ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2036 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2021 - val_categorical_accuracy: 0.9614 - 650ms/epoch - 5ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2047 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9889 - val_loss: 0.2064 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2054 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2041 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2146 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.2252 - val_categorical_accuracy: 0.9554 - 640ms/epoch - 5ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2173 - val_categorical_accuracy: 0.9630 - 780ms/epoch - 6ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2104 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2169 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2111 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2216 - val_categorical_accuracy: 0.9609 - 660ms/epoch - 5ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2152 - val_categorical_accuracy: 0.9593 - 660ms/epoch - 5ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2140 - val_categorical_accuracy: 0.9620 - 650ms/epoch - 5ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2130 - val_categorical_accuracy: 0.9626 - 660ms/epoch - 5ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2144 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2172 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2178 - val_categorical_accuracy: 0.9607 - 680ms/epoch - 5ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2183 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2173 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2209 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2174 - val_categorical_accuracy: 0.9610 - 790ms/epoch - 6ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2194 - val_categorical_accuracy: 0.9630 - 680ms/epoch - 5ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2256 - val_categorical_accuracy: 0.9617 - 660ms/epoch - 5ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2157 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2407 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2264 - val_categorical_accuracy: 0.9610 - 660ms/epoch - 5ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2196 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2178 - val_categorical_accuracy: 0.9640 - 610ms/epoch - 4ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2198 - val_categorical_accuracy: 0.9630 - 660ms/epoch - 5ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2250 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2151 - val_categorical_accuracy: 0.9633 - 620ms/epoch - 4ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2173 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2547 - val_categorical_accuracy: 0.9539 - 640ms/epoch - 5ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.1218 - categorical_accuracy: 0.9677 - val_loss: 0.1896 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2093 - val_categorical_accuracy: 0.9610 - 650ms/epoch - 5ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2058 - val_categorical_accuracy: 0.9625 - 660ms/epoch - 5ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2103 - val_categorical_accuracy: 0.9633 - 620ms/epoch - 4ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2118 - val_categorical_accuracy: 0.9637 - 610ms/epoch - 4ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2076 - val_categorical_accuracy: 0.9632 - 660ms/epoch - 5ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9890 - val_loss: 0.2116 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2122 - val_categorical_accuracy: 0.9636 - 620ms/epoch - 4ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2190 - val_categorical_accuracy: 0.9620 - 650ms/epoch - 5ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2069 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9886 - val_loss: 0.2212 - val_categorical_accuracy: 0.9616 - 650ms/epoch - 5ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2251 - val_categorical_accuracy: 0.9621 - 650ms/epoch - 5ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0796 - categorical_accuracy: 0.9776 - val_loss: 0.2009 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2075 - val_categorical_accuracy: 0.9633 - 610ms/epoch - 4ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2068 - val_categorical_accuracy: 0.9634 - 660ms/epoch - 5ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2108 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2146 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9889 - val_loss: 0.2167 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2203 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2131 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2127 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2111 - val_categorical_accuracy: 0.9641 - 640ms/epoch - 5ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9878 - val_loss: 0.2262 - val_categorical_accuracy: 0.9613 - 660ms/epoch - 5ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9890 - val_loss: 0.2327 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2082 - val_categorical_accuracy: 0.9639 - 610ms/epoch - 4ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2209 - val_categorical_accuracy: 0.9590 - 670ms/epoch - 5ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2192 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2170 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2118 - val_categorical_accuracy: 0.9650 - 610ms/epoch - 4ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2318 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2338 - val_categorical_accuracy: 0.9572 - 650ms/epoch - 5ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2223 - val_categorical_accuracy: 0.9610 - 650ms/epoch - 5ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2251 - val_categorical_accuracy: 0.9622 - 680ms/epoch - 5ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2264 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.1042 - categorical_accuracy: 0.9737 - val_loss: 0.3092 - val_categorical_accuracy: 0.9038 - 640ms/epoch - 5ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9778 - val_loss: 0.1983 - val_categorical_accuracy: 0.9638 - 610ms/epoch - 4ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9882 - val_loss: 0.2097 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2222 - val_categorical_accuracy: 0.9574 - 680ms/epoch - 5ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2051 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2123 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2224 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2070 - val_categorical_accuracy: 0.9631 - 613ms/epoch - 4ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2068 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2283 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2312 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2178 - val_categorical_accuracy: 0.9641 - 630ms/epoch - 4ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2103 - val_categorical_accuracy: 0.9641 - 640ms/epoch - 5ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9869 - val_loss: 0.2154 - val_categorical_accuracy: 0.9624 - 620ms/epoch - 4ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.2219 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2137 - val_categorical_accuracy: 0.9626 - 650ms/epoch - 5ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2229 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2176 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2108 - val_categorical_accuracy: 0.9639 - 680ms/epoch - 5ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2177 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2161 - val_categorical_accuracy: 0.9655 - 610ms/epoch - 4ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2249 - val_categorical_accuracy: 0.9628 - 660ms/epoch - 5ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9883 - val_loss: 0.2171 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2194 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2333 - val_categorical_accuracy: 0.9609 - 690ms/epoch - 5ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2576 - val_categorical_accuracy: 0.9567 - 610ms/epoch - 4ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2318 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2358 - val_categorical_accuracy: 0.9612 - 650ms/epoch - 5ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2310 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2402 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0995 - categorical_accuracy: 0.9741 - val_loss: 0.2132 - val_categorical_accuracy: 0.9444 - 640ms/epoch - 5ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2011 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2034 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9892 - val_loss: 0.2231 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2336 - val_categorical_accuracy: 0.9590 - 650ms/epoch - 5ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2179 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2099 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2127 - val_categorical_accuracy: 0.9641 - 650ms/epoch - 5ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2162 - val_categorical_accuracy: 0.9634 - 620ms/epoch - 4ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2089 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2156 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2110 - val_categorical_accuracy: 0.9635 - 650ms/epoch - 5ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2162 - val_categorical_accuracy: 0.9640 - 610ms/epoch - 4ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2118 - val_categorical_accuracy: 0.9632 - 620ms/epoch - 4ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2119 - val_categorical_accuracy: 0.9647 - 650ms/epoch - 5ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2209 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2189 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2255 - val_categorical_accuracy: 0.9612 - 670ms/epoch - 5ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2216 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2103 - val_categorical_accuracy: 0.9648 - 640ms/epoch - 5ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.3317 - categorical_accuracy: 0.9070 - val_loss: 0.2177 - val_categorical_accuracy: 0.9344 - 610ms/epoch - 4ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9741 - val_loss: 0.1902 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2120 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2060 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1991 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9883 - val_loss: 0.2133 - val_categorical_accuracy: 0.9614 - 650ms/epoch - 5ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2123 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2068 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2089 - val_categorical_accuracy: 0.9614 - 660ms/epoch - 5ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2045 - val_categorical_accuracy: 0.9635 - 620ms/epoch - 4ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2095 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2052 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2095 - val_categorical_accuracy: 0.9635 - 620ms/epoch - 4ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2126 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2276 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2081 - val_categorical_accuracy: 0.9645 - 640ms/epoch - 5ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2101 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2186 - val_categorical_accuracy: 0.9640 - 630ms/epoch - 4ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2217 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2158 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2255 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2227 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2109 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2181 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2429 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.2243 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2162 - val_categorical_accuracy: 0.9634 - 670ms/epoch - 5ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2063 - val_categorical_accuracy: 0.9642 - 630ms/epoch - 4ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2132 - val_categorical_accuracy: 0.9652 - 620ms/epoch - 4ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2161 - val_categorical_accuracy: 0.9621 - 660ms/epoch - 5ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2218 - val_categorical_accuracy: 0.9641 - 650ms/epoch - 5ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2192 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2227 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2128 - val_categorical_accuracy: 0.9645 - 610ms/epoch - 4ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0913 - categorical_accuracy: 0.9753 - val_loss: 0.1922 - val_categorical_accuracy: 0.9612 - 650ms/epoch - 5ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2053 - val_categorical_accuracy: 0.9644 - 620ms/epoch - 4ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2062 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2171 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2057 - val_categorical_accuracy: 0.9638 - 640ms/epoch - 5ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2130 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2129 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2216 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2074 - val_categorical_accuracy: 0.9645 - 650ms/epoch - 5ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2126 - val_categorical_accuracy: 0.9624 - 670ms/epoch - 5ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2413 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2158 - val_categorical_accuracy: 0.9637 - 610ms/epoch - 4ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9891 - val_loss: 0.2120 - val_categorical_accuracy: 0.9644 - 650ms/epoch - 5ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2215 - val_categorical_accuracy: 0.9633 - 620ms/epoch - 4ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2248 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2348 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2256 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2183 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9847 - val_loss: 7.0826 - val_categorical_accuracy: 0.4792 - 650ms/epoch - 5ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.6691 - categorical_accuracy: 0.7762 - val_loss: 0.2756 - val_categorical_accuracy: 0.9077 - 663ms/epoch - 5ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.1595 - categorical_accuracy: 0.9441 - val_loss: 0.2185 - val_categorical_accuracy: 0.9332 - 610ms/epoch - 4ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0950 - categorical_accuracy: 0.9671 - val_loss: 0.2207 - val_categorical_accuracy: 0.9441 - 610ms/epoch - 4ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9754 - val_loss: 0.1783 - val_categorical_accuracy: 0.9541 - 660ms/epoch - 5ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9799 - val_loss: 0.1846 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9824 - val_loss: 0.1821 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9838 - val_loss: 0.1953 - val_categorical_accuracy: 0.9552 - 610ms/epoch - 4ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.1806 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.2110 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2532 - val_categorical_accuracy: 0.9506 - 650ms/epoch - 5ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9849 - val_loss: 0.1971 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2107 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.1931 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1975 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2211 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2037 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9872 - val_loss: 0.2024 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2101 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2072 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2121 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2026 - val_categorical_accuracy: 0.9626 - 650ms/epoch - 5ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2006 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2129 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2180 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2107 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2136 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2493 - val_categorical_accuracy: 0.9529 - 610ms/epoch - 4ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2134 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9876 - val_loss: 0.2123 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2219 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2144 - val_categorical_accuracy: 0.9603 - 660ms/epoch - 5ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2143 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9879 - val_loss: 0.2349 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2081 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2138 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2182 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2340 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2182 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9871 - val_loss: 0.6157 - val_categorical_accuracy: 0.9017 - 610ms/epoch - 4ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9825 - val_loss: 0.1993 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2055 - val_categorical_accuracy: 0.9621 - 680ms/epoch - 5ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2144 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2047 - val_categorical_accuracy: 0.9640 - 610ms/epoch - 4ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2260 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.2087 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2169 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2197 - val_categorical_accuracy: 0.9639 - 610ms/epoch - 4ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2181 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2164 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2225 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2244 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2126 - val_categorical_accuracy: 0.9636 - 680ms/epoch - 5ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2442 - val_categorical_accuracy: 0.9545 - 690ms/epoch - 5ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2171 - val_categorical_accuracy: 0.9630 - 680ms/epoch - 5ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2143 - val_categorical_accuracy: 0.9620 - 680ms/epoch - 5ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2105 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2175 - val_categorical_accuracy: 0.9639 - 610ms/epoch - 4ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2254 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2139 - val_categorical_accuracy: 0.9646 - 610ms/epoch - 4ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2111 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2140 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2170 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2178 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2172 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2162 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2143 - val_categorical_accuracy: 0.9638 - 650ms/epoch - 5ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2335 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2153 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2334 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2260 - val_categorical_accuracy: 0.9601 - 780ms/epoch - 6ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2561 - val_categorical_accuracy: 0.9523 - 670ms/epoch - 5ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2235 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2164 - val_categorical_accuracy: 0.9641 - 620ms/epoch - 4ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2216 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2245 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2234 - val_categorical_accuracy: 0.9622 - 660ms/epoch - 5ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2448 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9860 - val_loss: 1.1418 - val_categorical_accuracy: 0.8411 - 620ms/epoch - 4ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.1306 - categorical_accuracy: 0.9662 - val_loss: 0.1943 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9884 - val_loss: 0.2007 - val_categorical_accuracy: 0.9635 - 620ms/epoch - 4ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9891 - val_loss: 0.2011 - val_categorical_accuracy: 0.9634 - 620ms/epoch - 4ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2151 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9891 - val_loss: 0.2107 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2138 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.2050 - val_categorical_accuracy: 0.9644 - 610ms/epoch - 4ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2388 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2223 - val_categorical_accuracy: 0.9627 - 620ms/epoch - 4ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2103 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2355 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2328 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2196 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2200 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2141 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2307 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2112 - val_categorical_accuracy: 0.9641 - 610ms/epoch - 4ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9889 - val_loss: 0.2183 - val_categorical_accuracy: 0.9647 - 650ms/epoch - 5ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2312 - val_categorical_accuracy: 0.9605 - 614ms/epoch - 4ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2316 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2684 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2276 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2446 - val_categorical_accuracy: 0.9538 - 640ms/epoch - 5ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2331 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2206 - val_categorical_accuracy: 0.9628 - 620ms/epoch - 4ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2238 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2295 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2199 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2302 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2233 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2494 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2215 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2383 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2268 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2391 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9883 - val_loss: 0.2259 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.1636 - categorical_accuracy: 0.9607 - val_loss: 0.3345 - val_categorical_accuracy: 0.8897 - 620ms/epoch - 4ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0938 - categorical_accuracy: 0.9671 - val_loss: 0.1830 - val_categorical_accuracy: 0.9602 - 660ms/epoch - 5ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9877 - val_loss: 0.1899 - val_categorical_accuracy: 0.9641 - 610ms/epoch - 4ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9888 - val_loss: 0.1978 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2351 - val_categorical_accuracy: 0.9545 - 620ms/epoch - 4ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.1981 - val_categorical_accuracy: 0.9654 - 610ms/epoch - 4ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2160 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9893 - val_loss: 0.2125 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2208 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2138 - val_categorical_accuracy: 0.9633 - 620ms/epoch - 4ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2129 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2194 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2156 - val_categorical_accuracy: 0.9634 - 650ms/epoch - 5ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2145 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2197 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9886 - val_loss: 0.2442 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9888 - val_loss: 0.2308 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2143 - val_categorical_accuracy: 0.9647 - 640ms/epoch - 5ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2221 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2220 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2226 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2273 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2148 - val_categorical_accuracy: 0.9637 - 700ms/epoch - 5ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2228 - val_categorical_accuracy: 0.9638 - 650ms/epoch - 5ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2265 - val_categorical_accuracy: 0.9639 - 620ms/epoch - 4ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2524 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2490 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2312 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2311 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2229 - val_categorical_accuracy: 0.9622 - 620ms/epoch - 4ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2231 - val_categorical_accuracy: 0.9640 - 610ms/epoch - 4ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2895 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2341 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2317 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.6098 - val_categorical_accuracy: 0.9007 - 610ms/epoch - 4ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.1049 - categorical_accuracy: 0.9731 - val_loss: 0.1999 - val_categorical_accuracy: 0.9648 - 610ms/epoch - 4ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2139 - val_categorical_accuracy: 0.9622 - 620ms/epoch - 4ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9895 - val_loss: 0.2138 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2152 - val_categorical_accuracy: 0.9642 - 620ms/epoch - 4ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2126 - val_categorical_accuracy: 0.9640 - 620ms/epoch - 4ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2183 - val_categorical_accuracy: 0.9633 - 610ms/epoch - 4ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2194 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2235 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2259 - val_categorical_accuracy: 0.9616 - 660ms/epoch - 5ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2345 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2300 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2555 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2195 - val_categorical_accuracy: 0.9639 - 620ms/epoch - 4ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2241 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2191 - val_categorical_accuracy: 0.9638 - 610ms/epoch - 4ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2206 - val_categorical_accuracy: 0.9639 - 610ms/epoch - 4ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2321 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2439 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2251 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2330 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2260 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2261 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2257 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2289 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0762 - categorical_accuracy: 0.9785 - val_loss: 0.2072 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2154 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2170 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2221 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2223 - val_categorical_accuracy: 0.9624 - 650ms/epoch - 5ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9890 - val_loss: 0.2159 - val_categorical_accuracy: 0.9638 - 620ms/epoch - 4ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2206 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2232 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2260 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2450 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9882 - val_loss: 0.2231 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2230 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2250 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2391 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9868 - val_loss: 0.2294 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2298 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2219 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0877 - categorical_accuracy: 0.9786 - val_loss: 0.2307 - val_categorical_accuracy: 0.9402 - 630ms/epoch - 4ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9847 - val_loss: 0.2027 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2034 - val_categorical_accuracy: 0.9646 - 615ms/epoch - 4ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.2108 - val_categorical_accuracy: 0.9655 - 610ms/epoch - 4ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9897 - val_loss: 0.2111 - val_categorical_accuracy: 0.9643 - 610ms/epoch - 4ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2129 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9897 - val_loss: 0.2335 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9827 - val_loss: 0.2105 - val_categorical_accuracy: 0.9633 - 610ms/epoch - 4ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9896 - val_loss: 0.2177 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2149 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2256 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2198 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9896 - val_loss: 0.2189 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2306 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2284 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2313 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2464 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2241 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9896 - val_loss: 0.2191 - val_categorical_accuracy: 0.9646 - 620ms/epoch - 4ms/step
processing fold # 3 
Epoch 1/1500
141/141 - 1s - loss: 1.9069 - categorical_accuracy: 0.2835 - val_loss: 1.8813 - val_categorical_accuracy: 0.3007 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5402 - categorical_accuracy: 0.4249 - val_loss: 1.3372 - val_categorical_accuracy: 0.4994 - 630ms/epoch - 4ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.2946 - categorical_accuracy: 0.5146 - val_loss: 1.6963 - val_categorical_accuracy: 0.4106 - 610ms/epoch - 4ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1366 - categorical_accuracy: 0.5794 - val_loss: 0.9630 - val_categorical_accuracy: 0.6456 - 620ms/epoch - 4ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.0778 - categorical_accuracy: 0.6086 - val_loss: 1.3496 - val_categorical_accuracy: 0.5044 - 630ms/epoch - 4ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.8891 - categorical_accuracy: 0.6712 - val_loss: 0.7920 - val_categorical_accuracy: 0.7074 - 620ms/epoch - 4ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8049 - categorical_accuracy: 0.7017 - val_loss: 0.7011 - val_categorical_accuracy: 0.7332 - 620ms/epoch - 4ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.7222 - categorical_accuracy: 0.7310 - val_loss: 0.6392 - val_categorical_accuracy: 0.7640 - 610ms/epoch - 4ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.8530 - categorical_accuracy: 0.7029 - val_loss: 0.9803 - val_categorical_accuracy: 0.6609 - 620ms/epoch - 4ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.7016 - categorical_accuracy: 0.7442 - val_loss: 0.5916 - val_categorical_accuracy: 0.7794 - 620ms/epoch - 4ms/step
Epoch 11/1500
141/141 - 1s - loss: 1.6684 - categorical_accuracy: 0.4542 - val_loss: 1.8746 - val_categorical_accuracy: 0.2984 - 610ms/epoch - 4ms/step
Epoch 12/1500
141/141 - 1s - loss: 1.5846 - categorical_accuracy: 0.4070 - val_loss: 1.2395 - val_categorical_accuracy: 0.5357 - 620ms/epoch - 4ms/step
Epoch 13/1500
141/141 - 1s - loss: 1.2306 - categorical_accuracy: 0.5417 - val_loss: 1.0585 - val_categorical_accuracy: 0.6078 - 610ms/epoch - 4ms/step
Epoch 14/1500
141/141 - 1s - loss: 1.0231 - categorical_accuracy: 0.6187 - val_loss: 1.2987 - val_categorical_accuracy: 0.5233 - 620ms/epoch - 4ms/step
Epoch 15/1500
141/141 - 1s - loss: 1.6372 - categorical_accuracy: 0.4212 - val_loss: 1.1230 - val_categorical_accuracy: 0.5749 - 630ms/epoch - 4ms/step
Epoch 16/1500
141/141 - 1s - loss: 1.0286 - categorical_accuracy: 0.6200 - val_loss: 0.8786 - val_categorical_accuracy: 0.6675 - 620ms/epoch - 4ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.8331 - categorical_accuracy: 0.6829 - val_loss: 0.7716 - val_categorical_accuracy: 0.6946 - 620ms/epoch - 4ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.7772 - categorical_accuracy: 0.7066 - val_loss: 0.6791 - val_categorical_accuracy: 0.7358 - 630ms/epoch - 4ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.6873 - categorical_accuracy: 0.7378 - val_loss: 0.7078 - val_categorical_accuracy: 0.7266 - 620ms/epoch - 4ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.9485 - categorical_accuracy: 0.6709 - val_loss: 0.7384 - val_categorical_accuracy: 0.7259 - 630ms/epoch - 4ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.6494 - categorical_accuracy: 0.7560 - val_loss: 0.5814 - val_categorical_accuracy: 0.7778 - 610ms/epoch - 4ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.6022 - categorical_accuracy: 0.7754 - val_loss: 0.5519 - val_categorical_accuracy: 0.7904 - 620ms/epoch - 4ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.5583 - categorical_accuracy: 0.7919 - val_loss: 0.5156 - val_categorical_accuracy: 0.8066 - 670ms/epoch - 5ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.5836 - categorical_accuracy: 0.7908 - val_loss: 0.6391 - val_categorical_accuracy: 0.7637 - 630ms/epoch - 4ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.5485 - categorical_accuracy: 0.8016 - val_loss: 0.4792 - val_categorical_accuracy: 0.8182 - 640ms/epoch - 5ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.4922 - categorical_accuracy: 0.8183 - val_loss: 0.5267 - val_categorical_accuracy: 0.8039 - 630ms/epoch - 4ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.5669 - categorical_accuracy: 0.8063 - val_loss: 1.4105 - val_categorical_accuracy: 0.4944 - 640ms/epoch - 5ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.5441 - categorical_accuracy: 0.8027 - val_loss: 0.4929 - val_categorical_accuracy: 0.8197 - 780ms/epoch - 6ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.4499 - categorical_accuracy: 0.8353 - val_loss: 0.4102 - val_categorical_accuracy: 0.8485 - 660ms/epoch - 5ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.5544 - categorical_accuracy: 0.8134 - val_loss: 0.4091 - val_categorical_accuracy: 0.8530 - 620ms/epoch - 4ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.4127 - categorical_accuracy: 0.8502 - val_loss: 0.3879 - val_categorical_accuracy: 0.8585 - 620ms/epoch - 4ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.4111 - categorical_accuracy: 0.8513 - val_loss: 0.4101 - val_categorical_accuracy: 0.8493 - 630ms/epoch - 4ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3861 - categorical_accuracy: 0.8595 - val_loss: 0.3707 - val_categorical_accuracy: 0.8679 - 610ms/epoch - 4ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.4020 - categorical_accuracy: 0.8559 - val_loss: 0.3621 - val_categorical_accuracy: 0.8699 - 640ms/epoch - 5ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.3659 - categorical_accuracy: 0.8685 - val_loss: 0.3473 - val_categorical_accuracy: 0.8735 - 640ms/epoch - 5ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.3565 - categorical_accuracy: 0.8717 - val_loss: 0.4099 - val_categorical_accuracy: 0.8518 - 620ms/epoch - 4ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3536 - categorical_accuracy: 0.8730 - val_loss: 0.3616 - val_categorical_accuracy: 0.8668 - 620ms/epoch - 4ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3581 - categorical_accuracy: 0.8733 - val_loss: 0.3391 - val_categorical_accuracy: 0.8786 - 620ms/epoch - 4ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.4716 - categorical_accuracy: 0.8455 - val_loss: 0.3554 - val_categorical_accuracy: 0.8741 - 630ms/epoch - 4ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.3249 - categorical_accuracy: 0.8844 - val_loss: 0.3659 - val_categorical_accuracy: 0.8688 - 630ms/epoch - 4ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.3165 - categorical_accuracy: 0.8865 - val_loss: 0.3214 - val_categorical_accuracy: 0.8853 - 620ms/epoch - 4ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.3173 - categorical_accuracy: 0.8870 - val_loss: 0.4557 - val_categorical_accuracy: 0.8420 - 620ms/epoch - 4ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.3732 - categorical_accuracy: 0.8737 - val_loss: 0.3106 - val_categorical_accuracy: 0.8896 - 610ms/epoch - 4ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2896 - categorical_accuracy: 0.8970 - val_loss: 0.3488 - val_categorical_accuracy: 0.8747 - 620ms/epoch - 4ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2925 - categorical_accuracy: 0.8957 - val_loss: 0.2971 - val_categorical_accuracy: 0.8943 - 650ms/epoch - 5ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.3037 - categorical_accuracy: 0.8938 - val_loss: 0.3386 - val_categorical_accuracy: 0.8751 - 620ms/epoch - 4ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2817 - categorical_accuracy: 0.9001 - val_loss: 0.2915 - val_categorical_accuracy: 0.8970 - 620ms/epoch - 4ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2936 - categorical_accuracy: 0.8971 - val_loss: 0.2949 - val_categorical_accuracy: 0.8959 - 620ms/epoch - 4ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2661 - categorical_accuracy: 0.9058 - val_loss: 0.3668 - val_categorical_accuracy: 0.8654 - 610ms/epoch - 4ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.3094 - categorical_accuracy: 0.8961 - val_loss: 2.7905 - val_categorical_accuracy: 0.4267 - 640ms/epoch - 5ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.3589 - categorical_accuracy: 0.8828 - val_loss: 0.3145 - val_categorical_accuracy: 0.8860 - 620ms/epoch - 4ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2592 - categorical_accuracy: 0.9086 - val_loss: 0.2844 - val_categorical_accuracy: 0.9010 - 620ms/epoch - 4ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2591 - categorical_accuracy: 0.9081 - val_loss: 0.3201 - val_categorical_accuracy: 0.8866 - 610ms/epoch - 4ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2630 - categorical_accuracy: 0.9073 - val_loss: 0.3211 - val_categorical_accuracy: 0.8843 - 610ms/epoch - 4ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2423 - categorical_accuracy: 0.9144 - val_loss: 0.4650 - val_categorical_accuracy: 0.8406 - 630ms/epoch - 4ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2703 - categorical_accuracy: 0.9076 - val_loss: 0.2475 - val_categorical_accuracy: 0.9141 - 620ms/epoch - 4ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2464 - categorical_accuracy: 0.9134 - val_loss: 0.2492 - val_categorical_accuracy: 0.9123 - 620ms/epoch - 4ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2346 - categorical_accuracy: 0.9175 - val_loss: 0.2540 - val_categorical_accuracy: 0.9105 - 620ms/epoch - 4ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.2328 - categorical_accuracy: 0.9176 - val_loss: 0.2844 - val_categorical_accuracy: 0.8984 - 610ms/epoch - 4ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2850 - categorical_accuracy: 0.9084 - val_loss: 6.1182 - val_categorical_accuracy: 0.2088 - 630ms/epoch - 4ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.4393 - categorical_accuracy: 0.8615 - val_loss: 0.2629 - val_categorical_accuracy: 0.9096 - 620ms/epoch - 4ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.2372 - categorical_accuracy: 0.9165 - val_loss: 0.2636 - val_categorical_accuracy: 0.9071 - 620ms/epoch - 4ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.2218 - categorical_accuracy: 0.9222 - val_loss: 0.2553 - val_categorical_accuracy: 0.9090 - 620ms/epoch - 4ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.2314 - categorical_accuracy: 0.9202 - val_loss: 0.2528 - val_categorical_accuracy: 0.9142 - 620ms/epoch - 4ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.2174 - categorical_accuracy: 0.9237 - val_loss: 0.3375 - val_categorical_accuracy: 0.8805 - 650ms/epoch - 5ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.2264 - categorical_accuracy: 0.9219 - val_loss: 0.2561 - val_categorical_accuracy: 0.9111 - 620ms/epoch - 4ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.2132 - categorical_accuracy: 0.9256 - val_loss: 0.2407 - val_categorical_accuracy: 0.9157 - 620ms/epoch - 4ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.2199 - categorical_accuracy: 0.9237 - val_loss: 0.2403 - val_categorical_accuracy: 0.9153 - 620ms/epoch - 4ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.2017 - categorical_accuracy: 0.9298 - val_loss: 0.2704 - val_categorical_accuracy: 0.9044 - 620ms/epoch - 4ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.2020 - categorical_accuracy: 0.9291 - val_loss: 0.2656 - val_categorical_accuracy: 0.9077 - 630ms/epoch - 4ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1980 - categorical_accuracy: 0.9309 - val_loss: 0.3214 - val_categorical_accuracy: 0.8869 - 620ms/epoch - 4ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.2109 - categorical_accuracy: 0.9270 - val_loss: 1.2247 - val_categorical_accuracy: 0.6938 - 620ms/epoch - 4ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.2093 - categorical_accuracy: 0.9280 - val_loss: 0.2576 - val_categorical_accuracy: 0.9116 - 610ms/epoch - 4ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.2215 - categorical_accuracy: 0.9251 - val_loss: 0.2221 - val_categorical_accuracy: 0.9246 - 610ms/epoch - 4ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.2360 - categorical_accuracy: 0.9230 - val_loss: 0.2253 - val_categorical_accuracy: 0.9223 - 620ms/epoch - 4ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1788 - categorical_accuracy: 0.9383 - val_loss: 0.2447 - val_categorical_accuracy: 0.9174 - 620ms/epoch - 4ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1965 - categorical_accuracy: 0.9322 - val_loss: 0.7250 - val_categorical_accuracy: 0.7996 - 620ms/epoch - 4ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1976 - categorical_accuracy: 0.9327 - val_loss: 0.2305 - val_categorical_accuracy: 0.9206 - 620ms/epoch - 4ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1797 - categorical_accuracy: 0.9375 - val_loss: 0.2246 - val_categorical_accuracy: 0.9210 - 608ms/epoch - 4ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.2765 - categorical_accuracy: 0.9177 - val_loss: 1.9070 - val_categorical_accuracy: 0.4455 - 630ms/epoch - 4ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.2269 - categorical_accuracy: 0.9236 - val_loss: 0.2096 - val_categorical_accuracy: 0.9297 - 620ms/epoch - 4ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1778 - categorical_accuracy: 0.9385 - val_loss: 0.2110 - val_categorical_accuracy: 0.9291 - 630ms/epoch - 4ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1833 - categorical_accuracy: 0.9367 - val_loss: 0.2516 - val_categorical_accuracy: 0.9112 - 610ms/epoch - 4ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1824 - categorical_accuracy: 0.9375 - val_loss: 0.2164 - val_categorical_accuracy: 0.9259 - 610ms/epoch - 4ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1946 - categorical_accuracy: 0.9337 - val_loss: 0.2183 - val_categorical_accuracy: 0.9244 - 650ms/epoch - 5ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1726 - categorical_accuracy: 0.9399 - val_loss: 0.2218 - val_categorical_accuracy: 0.9250 - 620ms/epoch - 4ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1693 - categorical_accuracy: 0.9414 - val_loss: 0.2200 - val_categorical_accuracy: 0.9229 - 620ms/epoch - 4ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1734 - categorical_accuracy: 0.9407 - val_loss: 0.2008 - val_categorical_accuracy: 0.9312 - 610ms/epoch - 4ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.2273 - categorical_accuracy: 0.9287 - val_loss: 0.2165 - val_categorical_accuracy: 0.9254 - 610ms/epoch - 4ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1623 - categorical_accuracy: 0.9441 - val_loss: 0.6323 - val_categorical_accuracy: 0.8125 - 620ms/epoch - 4ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.2356 - categorical_accuracy: 0.9269 - val_loss: 0.2253 - val_categorical_accuracy: 0.9199 - 620ms/epoch - 4ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1614 - categorical_accuracy: 0.9440 - val_loss: 0.2093 - val_categorical_accuracy: 0.9298 - 620ms/epoch - 4ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1687 - categorical_accuracy: 0.9419 - val_loss: 0.2234 - val_categorical_accuracy: 0.9282 - 610ms/epoch - 4ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1630 - categorical_accuracy: 0.9434 - val_loss: 0.2102 - val_categorical_accuracy: 0.9317 - 620ms/epoch - 4ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1614 - categorical_accuracy: 0.9442 - val_loss: 0.2726 - val_categorical_accuracy: 0.9019 - 610ms/epoch - 4ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1671 - categorical_accuracy: 0.9435 - val_loss: 0.2055 - val_categorical_accuracy: 0.9317 - 620ms/epoch - 4ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1647 - categorical_accuracy: 0.9430 - val_loss: 0.2089 - val_categorical_accuracy: 0.9294 - 620ms/epoch - 4ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1833 - categorical_accuracy: 0.9408 - val_loss: 0.1907 - val_categorical_accuracy: 0.9355 - 620ms/epoch - 4ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1634 - categorical_accuracy: 0.9444 - val_loss: 0.2627 - val_categorical_accuracy: 0.9087 - 610ms/epoch - 4ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1509 - categorical_accuracy: 0.9483 - val_loss: 0.2253 - val_categorical_accuracy: 0.9271 - 620ms/epoch - 4ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1548 - categorical_accuracy: 0.9466 - val_loss: 0.4935 - val_categorical_accuracy: 0.8448 - 620ms/epoch - 4ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1765 - categorical_accuracy: 0.9422 - val_loss: 0.2169 - val_categorical_accuracy: 0.9262 - 620ms/epoch - 4ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1467 - categorical_accuracy: 0.9493 - val_loss: 0.1970 - val_categorical_accuracy: 0.9351 - 610ms/epoch - 4ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1470 - categorical_accuracy: 0.9492 - val_loss: 0.1937 - val_categorical_accuracy: 0.9362 - 610ms/epoch - 4ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1853 - categorical_accuracy: 0.9402 - val_loss: 0.2203 - val_categorical_accuracy: 0.9254 - 610ms/epoch - 4ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1502 - categorical_accuracy: 0.9481 - val_loss: 0.1924 - val_categorical_accuracy: 0.9354 - 610ms/epoch - 4ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1525 - categorical_accuracy: 0.9480 - val_loss: 0.2038 - val_categorical_accuracy: 0.9319 - 620ms/epoch - 4ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1525 - categorical_accuracy: 0.9474 - val_loss: 0.2106 - val_categorical_accuracy: 0.9260 - 620ms/epoch - 4ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1492 - categorical_accuracy: 0.9484 - val_loss: 0.2433 - val_categorical_accuracy: 0.9168 - 610ms/epoch - 4ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1616 - categorical_accuracy: 0.9446 - val_loss: 0.2680 - val_categorical_accuracy: 0.9080 - 610ms/epoch - 4ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1414 - categorical_accuracy: 0.9508 - val_loss: 0.2190 - val_categorical_accuracy: 0.9278 - 610ms/epoch - 4ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1396 - categorical_accuracy: 0.9515 - val_loss: 0.1801 - val_categorical_accuracy: 0.9407 - 620ms/epoch - 4ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1377 - categorical_accuracy: 0.9525 - val_loss: 0.2149 - val_categorical_accuracy: 0.9316 - 620ms/epoch - 4ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.2129 - categorical_accuracy: 0.9353 - val_loss: 0.2122 - val_categorical_accuracy: 0.9260 - 610ms/epoch - 4ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1320 - categorical_accuracy: 0.9550 - val_loss: 0.1807 - val_categorical_accuracy: 0.9401 - 620ms/epoch - 4ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1426 - categorical_accuracy: 0.9510 - val_loss: 0.2030 - val_categorical_accuracy: 0.9336 - 630ms/epoch - 4ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1723 - categorical_accuracy: 0.9448 - val_loss: 0.2092 - val_categorical_accuracy: 0.9297 - 620ms/epoch - 4ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1334 - categorical_accuracy: 0.9544 - val_loss: 0.1913 - val_categorical_accuracy: 0.9355 - 630ms/epoch - 4ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1344 - categorical_accuracy: 0.9533 - val_loss: 0.1825 - val_categorical_accuracy: 0.9400 - 630ms/epoch - 4ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1563 - categorical_accuracy: 0.9481 - val_loss: 0.1942 - val_categorical_accuracy: 0.9351 - 630ms/epoch - 4ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1330 - categorical_accuracy: 0.9543 - val_loss: 0.1824 - val_categorical_accuracy: 0.9400 - 640ms/epoch - 5ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1305 - categorical_accuracy: 0.9549 - val_loss: 0.1875 - val_categorical_accuracy: 0.9397 - 630ms/epoch - 4ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1378 - categorical_accuracy: 0.9525 - val_loss: 0.2134 - val_categorical_accuracy: 0.9324 - 630ms/epoch - 4ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1354 - categorical_accuracy: 0.9542 - val_loss: 0.1927 - val_categorical_accuracy: 0.9364 - 610ms/epoch - 4ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1527 - categorical_accuracy: 0.9485 - val_loss: 0.1803 - val_categorical_accuracy: 0.9415 - 620ms/epoch - 4ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1260 - categorical_accuracy: 0.9566 - val_loss: 0.1964 - val_categorical_accuracy: 0.9349 - 620ms/epoch - 4ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1518 - categorical_accuracy: 0.9491 - val_loss: 0.1970 - val_categorical_accuracy: 0.9367 - 610ms/epoch - 4ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1229 - categorical_accuracy: 0.9577 - val_loss: 0.1941 - val_categorical_accuracy: 0.9369 - 620ms/epoch - 4ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1680 - categorical_accuracy: 0.9461 - val_loss: 0.2021 - val_categorical_accuracy: 0.9350 - 610ms/epoch - 4ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9578 - val_loss: 0.1840 - val_categorical_accuracy: 0.9399 - 610ms/epoch - 4ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9574 - val_loss: 0.1760 - val_categorical_accuracy: 0.9434 - 620ms/epoch - 4ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1382 - categorical_accuracy: 0.9522 - val_loss: 0.1894 - val_categorical_accuracy: 0.9410 - 620ms/epoch - 4ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1233 - categorical_accuracy: 0.9572 - val_loss: 0.2101 - val_categorical_accuracy: 0.9282 - 620ms/epoch - 4ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9575 - val_loss: 0.1869 - val_categorical_accuracy: 0.9414 - 610ms/epoch - 4ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1372 - categorical_accuracy: 0.9529 - val_loss: 0.1882 - val_categorical_accuracy: 0.9400 - 620ms/epoch - 4ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1204 - categorical_accuracy: 0.9587 - val_loss: 0.1877 - val_categorical_accuracy: 0.9405 - 620ms/epoch - 4ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1208 - categorical_accuracy: 0.9586 - val_loss: 0.1791 - val_categorical_accuracy: 0.9442 - 620ms/epoch - 4ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.2430 - categorical_accuracy: 0.9307 - val_loss: 0.1848 - val_categorical_accuracy: 0.9397 - 620ms/epoch - 4ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1160 - categorical_accuracy: 0.9600 - val_loss: 0.2094 - val_categorical_accuracy: 0.9350 - 620ms/epoch - 4ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.1253 - categorical_accuracy: 0.9570 - val_loss: 0.1885 - val_categorical_accuracy: 0.9416 - 610ms/epoch - 4ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1169 - categorical_accuracy: 0.9600 - val_loss: 0.1712 - val_categorical_accuracy: 0.9436 - 610ms/epoch - 4ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.1407 - categorical_accuracy: 0.9547 - val_loss: 0.1885 - val_categorical_accuracy: 0.9387 - 610ms/epoch - 4ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1183 - categorical_accuracy: 0.9589 - val_loss: 0.1874 - val_categorical_accuracy: 0.9396 - 620ms/epoch - 4ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.1252 - categorical_accuracy: 0.9575 - val_loss: 0.1886 - val_categorical_accuracy: 0.9377 - 620ms/epoch - 4ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.1135 - categorical_accuracy: 0.9608 - val_loss: 0.1887 - val_categorical_accuracy: 0.9415 - 610ms/epoch - 4ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1229 - categorical_accuracy: 0.9577 - val_loss: 0.2039 - val_categorical_accuracy: 0.9381 - 610ms/epoch - 4ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1131 - categorical_accuracy: 0.9608 - val_loss: 0.1974 - val_categorical_accuracy: 0.9388 - 610ms/epoch - 4ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1841 - categorical_accuracy: 0.9435 - val_loss: 0.1714 - val_categorical_accuracy: 0.9446 - 620ms/epoch - 4ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.1063 - categorical_accuracy: 0.9637 - val_loss: 0.1986 - val_categorical_accuracy: 0.9378 - 620ms/epoch - 4ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.1129 - categorical_accuracy: 0.9614 - val_loss: 0.1718 - val_categorical_accuracy: 0.9467 - 610ms/epoch - 4ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1495 - categorical_accuracy: 0.9533 - val_loss: 1.1383 - val_categorical_accuracy: 0.7376 - 620ms/epoch - 4ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.1327 - categorical_accuracy: 0.9562 - val_loss: 0.1805 - val_categorical_accuracy: 0.9440 - 610ms/epoch - 4ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.1141 - categorical_accuracy: 0.9607 - val_loss: 0.2026 - val_categorical_accuracy: 0.9348 - 620ms/epoch - 4ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.1077 - categorical_accuracy: 0.9629 - val_loss: 0.1894 - val_categorical_accuracy: 0.9399 - 610ms/epoch - 4ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.1068 - categorical_accuracy: 0.9632 - val_loss: 0.1858 - val_categorical_accuracy: 0.9406 - 620ms/epoch - 4ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.1150 - categorical_accuracy: 0.9602 - val_loss: 0.1812 - val_categorical_accuracy: 0.9423 - 620ms/epoch - 4ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.1137 - categorical_accuracy: 0.9605 - val_loss: 0.1766 - val_categorical_accuracy: 0.9456 - 620ms/epoch - 4ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.1082 - categorical_accuracy: 0.9629 - val_loss: 0.1849 - val_categorical_accuracy: 0.9411 - 620ms/epoch - 4ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.1734 - categorical_accuracy: 0.9483 - val_loss: 0.1926 - val_categorical_accuracy: 0.9409 - 610ms/epoch - 4ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.1051 - categorical_accuracy: 0.9640 - val_loss: 0.1690 - val_categorical_accuracy: 0.9472 - 640ms/epoch - 5ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.1061 - categorical_accuracy: 0.9633 - val_loss: 0.1903 - val_categorical_accuracy: 0.9395 - 610ms/epoch - 4ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.1109 - categorical_accuracy: 0.9621 - val_loss: 0.1839 - val_categorical_accuracy: 0.9427 - 620ms/epoch - 4ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.1158 - categorical_accuracy: 0.9600 - val_loss: 0.1762 - val_categorical_accuracy: 0.9468 - 610ms/epoch - 4ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1079 - categorical_accuracy: 0.9628 - val_loss: 0.1704 - val_categorical_accuracy: 0.9483 - 620ms/epoch - 4ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.1390 - categorical_accuracy: 0.9561 - val_loss: 0.1734 - val_categorical_accuracy: 0.9446 - 620ms/epoch - 4ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.1024 - categorical_accuracy: 0.9651 - val_loss: 0.2083 - val_categorical_accuracy: 0.9378 - 620ms/epoch - 4ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1057 - categorical_accuracy: 0.9637 - val_loss: 0.2228 - val_categorical_accuracy: 0.9359 - 610ms/epoch - 4ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.1305 - categorical_accuracy: 0.9572 - val_loss: 0.1675 - val_categorical_accuracy: 0.9480 - 620ms/epoch - 4ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.1002 - categorical_accuracy: 0.9653 - val_loss: 0.1814 - val_categorical_accuracy: 0.9451 - 620ms/epoch - 4ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.1040 - categorical_accuracy: 0.9640 - val_loss: 0.1869 - val_categorical_accuracy: 0.9430 - 620ms/epoch - 4ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.1456 - categorical_accuracy: 0.9546 - val_loss: 0.1706 - val_categorical_accuracy: 0.9464 - 620ms/epoch - 4ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0966 - categorical_accuracy: 0.9669 - val_loss: 0.3574 - val_categorical_accuracy: 0.8933 - 610ms/epoch - 4ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9601 - val_loss: 0.1683 - val_categorical_accuracy: 0.9494 - 620ms/epoch - 4ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.1034 - categorical_accuracy: 0.9643 - val_loss: 0.2145 - val_categorical_accuracy: 0.9323 - 620ms/epoch - 4ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.1051 - categorical_accuracy: 0.9636 - val_loss: 0.1764 - val_categorical_accuracy: 0.9457 - 620ms/epoch - 4ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.1795 - categorical_accuracy: 0.9480 - val_loss: 0.1896 - val_categorical_accuracy: 0.9411 - 614ms/epoch - 4ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9674 - val_loss: 0.1803 - val_categorical_accuracy: 0.9447 - 610ms/epoch - 4ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9652 - val_loss: 0.1992 - val_categorical_accuracy: 0.9393 - 610ms/epoch - 4ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0970 - categorical_accuracy: 0.9663 - val_loss: 0.1816 - val_categorical_accuracy: 0.9445 - 620ms/epoch - 4ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.1010 - categorical_accuracy: 0.9651 - val_loss: 0.1786 - val_categorical_accuracy: 0.9448 - 620ms/epoch - 4ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.1158 - categorical_accuracy: 0.9615 - val_loss: 0.1784 - val_categorical_accuracy: 0.9444 - 620ms/epoch - 4ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0926 - categorical_accuracy: 0.9684 - val_loss: 0.2177 - val_categorical_accuracy: 0.9329 - 620ms/epoch - 4ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.2187 - categorical_accuracy: 0.9388 - val_loss: 0.1855 - val_categorical_accuracy: 0.9400 - 610ms/epoch - 4ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0987 - categorical_accuracy: 0.9661 - val_loss: 0.1812 - val_categorical_accuracy: 0.9458 - 620ms/epoch - 4ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.1204 - categorical_accuracy: 0.9599 - val_loss: 0.1767 - val_categorical_accuracy: 0.9434 - 610ms/epoch - 4ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9675 - val_loss: 0.1988 - val_categorical_accuracy: 0.9408 - 620ms/epoch - 4ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0992 - categorical_accuracy: 0.9657 - val_loss: 0.1778 - val_categorical_accuracy: 0.9457 - 620ms/epoch - 4ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.1054 - categorical_accuracy: 0.9643 - val_loss: 0.1698 - val_categorical_accuracy: 0.9486 - 620ms/epoch - 4ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0933 - categorical_accuracy: 0.9680 - val_loss: 0.1747 - val_categorical_accuracy: 0.9479 - 620ms/epoch - 4ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.1586 - categorical_accuracy: 0.9521 - val_loss: 0.1754 - val_categorical_accuracy: 0.9460 - 610ms/epoch - 4ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0932 - categorical_accuracy: 0.9681 - val_loss: 0.2734 - val_categorical_accuracy: 0.9218 - 610ms/epoch - 4ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0951 - categorical_accuracy: 0.9672 - val_loss: 0.2131 - val_categorical_accuracy: 0.9312 - 620ms/epoch - 4ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9674 - val_loss: 0.1863 - val_categorical_accuracy: 0.9462 - 620ms/epoch - 4ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.1012 - categorical_accuracy: 0.9651 - val_loss: 0.1793 - val_categorical_accuracy: 0.9481 - 620ms/epoch - 4ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9675 - val_loss: 0.1645 - val_categorical_accuracy: 0.9510 - 620ms/epoch - 4ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9655 - val_loss: 0.1774 - val_categorical_accuracy: 0.9456 - 610ms/epoch - 4ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.1280 - categorical_accuracy: 0.9585 - val_loss: 0.1668 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0919 - categorical_accuracy: 0.9686 - val_loss: 0.1622 - val_categorical_accuracy: 0.9517 - 610ms/epoch - 4ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0906 - categorical_accuracy: 0.9689 - val_loss: 0.1788 - val_categorical_accuracy: 0.9467 - 610ms/epoch - 4ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.1222 - categorical_accuracy: 0.9599 - val_loss: 0.2042 - val_categorical_accuracy: 0.9400 - 620ms/epoch - 4ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0883 - categorical_accuracy: 0.9695 - val_loss: 0.1732 - val_categorical_accuracy: 0.9465 - 610ms/epoch - 4ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.1291 - categorical_accuracy: 0.9597 - val_loss: 0.1699 - val_categorical_accuracy: 0.9457 - 610ms/epoch - 4ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9702 - val_loss: 0.2159 - val_categorical_accuracy: 0.9333 - 620ms/epoch - 4ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0913 - categorical_accuracy: 0.9681 - val_loss: 0.1977 - val_categorical_accuracy: 0.9401 - 620ms/epoch - 4ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.1087 - categorical_accuracy: 0.9633 - val_loss: 0.1825 - val_categorical_accuracy: 0.9446 - 620ms/epoch - 4ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0870 - categorical_accuracy: 0.9703 - val_loss: 0.2271 - val_categorical_accuracy: 0.9280 - 620ms/epoch - 4ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9664 - val_loss: 0.1696 - val_categorical_accuracy: 0.9495 - 620ms/epoch - 4ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9697 - val_loss: 0.1802 - val_categorical_accuracy: 0.9498 - 620ms/epoch - 4ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0897 - categorical_accuracy: 0.9689 - val_loss: 0.2039 - val_categorical_accuracy: 0.9372 - 620ms/epoch - 4ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0875 - categorical_accuracy: 0.9699 - val_loss: 0.2202 - val_categorical_accuracy: 0.9362 - 620ms/epoch - 4ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.2991 - categorical_accuracy: 0.9179 - val_loss: 0.1766 - val_categorical_accuracy: 0.9449 - 620ms/epoch - 4ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0901 - categorical_accuracy: 0.9694 - val_loss: 0.2083 - val_categorical_accuracy: 0.9358 - 610ms/epoch - 4ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0901 - categorical_accuracy: 0.9689 - val_loss: 0.2021 - val_categorical_accuracy: 0.9420 - 620ms/epoch - 4ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0915 - categorical_accuracy: 0.9685 - val_loss: 0.1685 - val_categorical_accuracy: 0.9490 - 620ms/epoch - 4ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0844 - categorical_accuracy: 0.9708 - val_loss: 0.1742 - val_categorical_accuracy: 0.9505 - 610ms/epoch - 4ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.1290 - categorical_accuracy: 0.9602 - val_loss: 0.1775 - val_categorical_accuracy: 0.9470 - 620ms/epoch - 4ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9701 - val_loss: 0.1761 - val_categorical_accuracy: 0.9476 - 620ms/epoch - 4ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0827 - categorical_accuracy: 0.9717 - val_loss: 0.1717 - val_categorical_accuracy: 0.9503 - 640ms/epoch - 5ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.1175 - categorical_accuracy: 0.9620 - val_loss: 0.1722 - val_categorical_accuracy: 0.9500 - 640ms/epoch - 5ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9711 - val_loss: 0.1973 - val_categorical_accuracy: 0.9409 - 630ms/epoch - 4ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0962 - categorical_accuracy: 0.9672 - val_loss: 0.1994 - val_categorical_accuracy: 0.9405 - 620ms/epoch - 4ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0883 - categorical_accuracy: 0.9692 - val_loss: 0.1694 - val_categorical_accuracy: 0.9515 - 610ms/epoch - 4ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.1194 - categorical_accuracy: 0.9622 - val_loss: 0.1675 - val_categorical_accuracy: 0.9492 - 620ms/epoch - 4ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0933 - categorical_accuracy: 0.9679 - val_loss: 0.2653 - val_categorical_accuracy: 0.9167 - 620ms/epoch - 4ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.1092 - categorical_accuracy: 0.9646 - val_loss: 0.2056 - val_categorical_accuracy: 0.9410 - 640ms/epoch - 5ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0822 - categorical_accuracy: 0.9718 - val_loss: 0.1736 - val_categorical_accuracy: 0.9505 - 620ms/epoch - 4ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0812 - categorical_accuracy: 0.9722 - val_loss: 0.1794 - val_categorical_accuracy: 0.9465 - 620ms/epoch - 4ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.1107 - categorical_accuracy: 0.9634 - val_loss: 0.1984 - val_categorical_accuracy: 0.9382 - 680ms/epoch - 5ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0871 - categorical_accuracy: 0.9697 - val_loss: 0.1783 - val_categorical_accuracy: 0.9468 - 700ms/epoch - 5ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9723 - val_loss: 0.1860 - val_categorical_accuracy: 0.9430 - 680ms/epoch - 5ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.1133 - categorical_accuracy: 0.9632 - val_loss: 0.1648 - val_categorical_accuracy: 0.9518 - 680ms/epoch - 5ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0810 - categorical_accuracy: 0.9718 - val_loss: 0.1849 - val_categorical_accuracy: 0.9486 - 700ms/epoch - 5ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0935 - categorical_accuracy: 0.9680 - val_loss: 0.1706 - val_categorical_accuracy: 0.9512 - 680ms/epoch - 5ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0810 - categorical_accuracy: 0.9722 - val_loss: 0.1830 - val_categorical_accuracy: 0.9479 - 680ms/epoch - 5ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0808 - categorical_accuracy: 0.9720 - val_loss: 0.1878 - val_categorical_accuracy: 0.9451 - 620ms/epoch - 4ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0826 - categorical_accuracy: 0.9711 - val_loss: 0.2038 - val_categorical_accuracy: 0.9456 - 610ms/epoch - 4ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.4746 - categorical_accuracy: 0.8688 - val_loss: 0.2562 - val_categorical_accuracy: 0.9148 - 610ms/epoch - 4ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.1282 - categorical_accuracy: 0.9558 - val_loss: 0.1828 - val_categorical_accuracy: 0.9436 - 620ms/epoch - 4ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0919 - categorical_accuracy: 0.9682 - val_loss: 0.1788 - val_categorical_accuracy: 0.9455 - 620ms/epoch - 4ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9710 - val_loss: 0.1816 - val_categorical_accuracy: 0.9453 - 620ms/epoch - 4ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9700 - val_loss: 0.1694 - val_categorical_accuracy: 0.9509 - 620ms/epoch - 4ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0802 - categorical_accuracy: 0.9723 - val_loss: 0.1830 - val_categorical_accuracy: 0.9486 - 620ms/epoch - 4ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0867 - categorical_accuracy: 0.9698 - val_loss: 0.1860 - val_categorical_accuracy: 0.9443 - 610ms/epoch - 4ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.1254 - categorical_accuracy: 0.9618 - val_loss: 0.1707 - val_categorical_accuracy: 0.9495 - 620ms/epoch - 4ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9725 - val_loss: 0.1697 - val_categorical_accuracy: 0.9525 - 620ms/epoch - 4ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0802 - categorical_accuracy: 0.9725 - val_loss: 0.1898 - val_categorical_accuracy: 0.9437 - 620ms/epoch - 4ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0862 - categorical_accuracy: 0.9702 - val_loss: 0.1753 - val_categorical_accuracy: 0.9497 - 780ms/epoch - 6ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9687 - val_loss: 0.1671 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0777 - categorical_accuracy: 0.9731 - val_loss: 0.1805 - val_categorical_accuracy: 0.9467 - 620ms/epoch - 4ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0798 - categorical_accuracy: 0.9721 - val_loss: 0.1956 - val_categorical_accuracy: 0.9468 - 620ms/epoch - 4ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0863 - categorical_accuracy: 0.9701 - val_loss: 0.2406 - val_categorical_accuracy: 0.9310 - 610ms/epoch - 4ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.1161 - categorical_accuracy: 0.9631 - val_loss: 0.1691 - val_categorical_accuracy: 0.9515 - 620ms/epoch - 4ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0766 - categorical_accuracy: 0.9740 - val_loss: 0.2111 - val_categorical_accuracy: 0.9399 - 620ms/epoch - 4ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0854 - categorical_accuracy: 0.9709 - val_loss: 0.3474 - val_categorical_accuracy: 0.8985 - 620ms/epoch - 4ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.1024 - categorical_accuracy: 0.9655 - val_loss: 0.1704 - val_categorical_accuracy: 0.9501 - 620ms/epoch - 4ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9741 - val_loss: 0.1651 - val_categorical_accuracy: 0.9534 - 620ms/epoch - 4ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9735 - val_loss: 0.2132 - val_categorical_accuracy: 0.9431 - 620ms/epoch - 4ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9726 - val_loss: 0.1958 - val_categorical_accuracy: 0.9442 - 620ms/epoch - 4ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.1051 - categorical_accuracy: 0.9665 - val_loss: 0.1671 - val_categorical_accuracy: 0.9508 - 620ms/epoch - 4ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9741 - val_loss: 0.1759 - val_categorical_accuracy: 0.9502 - 620ms/epoch - 4ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9736 - val_loss: 0.1887 - val_categorical_accuracy: 0.9490 - 620ms/epoch - 4ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0782 - categorical_accuracy: 0.9728 - val_loss: 0.2163 - val_categorical_accuracy: 0.9323 - 620ms/epoch - 4ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.1110 - categorical_accuracy: 0.9647 - val_loss: 0.1643 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9740 - val_loss: 0.1858 - val_categorical_accuracy: 0.9497 - 620ms/epoch - 4ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9741 - val_loss: 0.1858 - val_categorical_accuracy: 0.9507 - 610ms/epoch - 4ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9724 - val_loss: 0.2240 - val_categorical_accuracy: 0.9352 - 620ms/epoch - 4ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.1356 - categorical_accuracy: 0.9592 - val_loss: 0.1795 - val_categorical_accuracy: 0.9468 - 610ms/epoch - 4ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9737 - val_loss: 0.1851 - val_categorical_accuracy: 0.9462 - 610ms/epoch - 4ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9749 - val_loss: 0.1725 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0752 - categorical_accuracy: 0.9740 - val_loss: 0.1739 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.1254 - categorical_accuracy: 0.9617 - val_loss: 0.1687 - val_categorical_accuracy: 0.9498 - 610ms/epoch - 4ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0721 - categorical_accuracy: 0.9752 - val_loss: 0.1709 - val_categorical_accuracy: 0.9522 - 614ms/epoch - 4ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9744 - val_loss: 0.1955 - val_categorical_accuracy: 0.9467 - 610ms/epoch - 4ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9736 - val_loss: 0.1798 - val_categorical_accuracy: 0.9518 - 620ms/epoch - 4ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9749 - val_loss: 0.1826 - val_categorical_accuracy: 0.9519 - 610ms/epoch - 4ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.1055 - categorical_accuracy: 0.9663 - val_loss: 0.2063 - val_categorical_accuracy: 0.9406 - 610ms/epoch - 4ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0747 - categorical_accuracy: 0.9743 - val_loss: 0.2409 - val_categorical_accuracy: 0.9300 - 620ms/epoch - 4ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0961 - categorical_accuracy: 0.9691 - val_loss: 0.1796 - val_categorical_accuracy: 0.9496 - 610ms/epoch - 4ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.1062 - categorical_accuracy: 0.9663 - val_loss: 0.1917 - val_categorical_accuracy: 0.9435 - 610ms/epoch - 4ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0713 - categorical_accuracy: 0.9757 - val_loss: 0.1687 - val_categorical_accuracy: 0.9528 - 610ms/epoch - 4ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9744 - val_loss: 0.1953 - val_categorical_accuracy: 0.9441 - 610ms/epoch - 4ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0735 - categorical_accuracy: 0.9745 - val_loss: 0.3354 - val_categorical_accuracy: 0.9172 - 620ms/epoch - 4ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0832 - categorical_accuracy: 0.9717 - val_loss: 0.1751 - val_categorical_accuracy: 0.9501 - 620ms/epoch - 4ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9748 - val_loss: 0.2033 - val_categorical_accuracy: 0.9469 - 620ms/epoch - 4ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9728 - val_loss: 0.1827 - val_categorical_accuracy: 0.9509 - 610ms/epoch - 4ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9743 - val_loss: 0.1829 - val_categorical_accuracy: 0.9520 - 610ms/epoch - 4ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9735 - val_loss: 0.1910 - val_categorical_accuracy: 0.9508 - 610ms/epoch - 4ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0720 - categorical_accuracy: 0.9752 - val_loss: 0.1847 - val_categorical_accuracy: 0.9481 - 630ms/epoch - 4ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0757 - categorical_accuracy: 0.9737 - val_loss: 0.2053 - val_categorical_accuracy: 0.9468 - 620ms/epoch - 4ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9742 - val_loss: 0.1899 - val_categorical_accuracy: 0.9478 - 620ms/epoch - 4ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.3248 - categorical_accuracy: 0.9383 - val_loss: 2.1866 - val_categorical_accuracy: 0.1551 - 620ms/epoch - 4ms/step
Epoch 292/1500
141/141 - 1s - loss: 1.0879 - categorical_accuracy: 0.6049 - val_loss: 0.5525 - val_categorical_accuracy: 0.8054 - 620ms/epoch - 4ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.4028 - categorical_accuracy: 0.8584 - val_loss: 0.3284 - val_categorical_accuracy: 0.8873 - 610ms/epoch - 4ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.2417 - categorical_accuracy: 0.9158 - val_loss: 0.2419 - val_categorical_accuracy: 0.9207 - 610ms/epoch - 4ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.1719 - categorical_accuracy: 0.9404 - val_loss: 0.2374 - val_categorical_accuracy: 0.9224 - 620ms/epoch - 4ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.1390 - categorical_accuracy: 0.9520 - val_loss: 0.2093 - val_categorical_accuracy: 0.9380 - 610ms/epoch - 4ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.1201 - categorical_accuracy: 0.9585 - val_loss: 0.1869 - val_categorical_accuracy: 0.9415 - 610ms/epoch - 4ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.1098 - categorical_accuracy: 0.9618 - val_loss: 0.1952 - val_categorical_accuracy: 0.9388 - 610ms/epoch - 4ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.1029 - categorical_accuracy: 0.9643 - val_loss: 0.1787 - val_categorical_accuracy: 0.9462 - 610ms/epoch - 4ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9664 - val_loss: 0.1901 - val_categorical_accuracy: 0.9440 - 630ms/epoch - 4ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0930 - categorical_accuracy: 0.9677 - val_loss: 0.1951 - val_categorical_accuracy: 0.9434 - 610ms/epoch - 4ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0912 - categorical_accuracy: 0.9686 - val_loss: 0.1930 - val_categorical_accuracy: 0.9437 - 620ms/epoch - 4ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0886 - categorical_accuracy: 0.9695 - val_loss: 0.1885 - val_categorical_accuracy: 0.9468 - 620ms/epoch - 4ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0885 - categorical_accuracy: 0.9693 - val_loss: 0.1861 - val_categorical_accuracy: 0.9487 - 620ms/epoch - 4ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0870 - categorical_accuracy: 0.9699 - val_loss: 0.1759 - val_categorical_accuracy: 0.9502 - 620ms/epoch - 4ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0834 - categorical_accuracy: 0.9711 - val_loss: 0.1980 - val_categorical_accuracy: 0.9429 - 620ms/epoch - 4ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0854 - categorical_accuracy: 0.9702 - val_loss: 0.1829 - val_categorical_accuracy: 0.9487 - 620ms/epoch - 4ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9717 - val_loss: 0.1756 - val_categorical_accuracy: 0.9520 - 610ms/epoch - 4ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9711 - val_loss: 0.4343 - val_categorical_accuracy: 0.8910 - 620ms/epoch - 4ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.1059 - categorical_accuracy: 0.9664 - val_loss: 0.1729 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0823 - categorical_accuracy: 0.9714 - val_loss: 0.1718 - val_categorical_accuracy: 0.9521 - 610ms/epoch - 4ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9733 - val_loss: 0.1969 - val_categorical_accuracy: 0.9446 - 620ms/epoch - 4ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0781 - categorical_accuracy: 0.9730 - val_loss: 0.1941 - val_categorical_accuracy: 0.9457 - 640ms/epoch - 5ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0768 - categorical_accuracy: 0.9735 - val_loss: 0.1841 - val_categorical_accuracy: 0.9484 - 650ms/epoch - 5ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9738 - val_loss: 0.1934 - val_categorical_accuracy: 0.9466 - 640ms/epoch - 5ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0759 - categorical_accuracy: 0.9735 - val_loss: 0.2006 - val_categorical_accuracy: 0.9439 - 630ms/epoch - 4ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9732 - val_loss: 0.1743 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9738 - val_loss: 0.1883 - val_categorical_accuracy: 0.9468 - 610ms/epoch - 4ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9735 - val_loss: 0.1762 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.1253 - categorical_accuracy: 0.9616 - val_loss: 0.1727 - val_categorical_accuracy: 0.9505 - 620ms/epoch - 4ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9744 - val_loss: 0.1739 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9757 - val_loss: 0.1783 - val_categorical_accuracy: 0.9508 - 610ms/epoch - 4ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0755 - categorical_accuracy: 0.9738 - val_loss: 0.2013 - val_categorical_accuracy: 0.9409 - 620ms/epoch - 4ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.1126 - categorical_accuracy: 0.9649 - val_loss: 0.1703 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9759 - val_loss: 0.1687 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9740 - val_loss: 0.1937 - val_categorical_accuracy: 0.9462 - 620ms/epoch - 4ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9758 - val_loss: 0.1800 - val_categorical_accuracy: 0.9518 - 620ms/epoch - 4ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9751 - val_loss: 0.1828 - val_categorical_accuracy: 0.9525 - 620ms/epoch - 4ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0712 - categorical_accuracy: 0.9756 - val_loss: 0.1750 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9762 - val_loss: 0.1844 - val_categorical_accuracy: 0.9476 - 620ms/epoch - 4ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.1658 - categorical_accuracy: 0.9556 - val_loss: 0.2604 - val_categorical_accuracy: 0.9201 - 610ms/epoch - 4ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9715 - val_loss: 0.1746 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9765 - val_loss: 0.1707 - val_categorical_accuracy: 0.9533 - 620ms/epoch - 4ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9760 - val_loss: 0.2087 - val_categorical_accuracy: 0.9434 - 610ms/epoch - 4ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9760 - val_loss: 0.1785 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9765 - val_loss: 0.1888 - val_categorical_accuracy: 0.9491 - 620ms/epoch - 4ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0710 - categorical_accuracy: 0.9753 - val_loss: 0.1778 - val_categorical_accuracy: 0.9534 - 610ms/epoch - 4ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9768 - val_loss: 0.1862 - val_categorical_accuracy: 0.9519 - 610ms/epoch - 4ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0823 - categorical_accuracy: 0.9722 - val_loss: 0.1856 - val_categorical_accuracy: 0.9539 - 610ms/epoch - 4ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9767 - val_loss: 0.1977 - val_categorical_accuracy: 0.9481 - 620ms/epoch - 4ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9770 - val_loss: 0.1733 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9759 - val_loss: 0.1830 - val_categorical_accuracy: 0.9532 - 610ms/epoch - 4ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.1821 - categorical_accuracy: 0.9492 - val_loss: 0.1729 - val_categorical_accuracy: 0.9520 - 610ms/epoch - 4ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9761 - val_loss: 0.1704 - val_categorical_accuracy: 0.9538 - 620ms/epoch - 4ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0705 - categorical_accuracy: 0.9756 - val_loss: 0.1849 - val_categorical_accuracy: 0.9521 - 620ms/epoch - 4ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9773 - val_loss: 0.1728 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.1445 - categorical_accuracy: 0.9596 - val_loss: 0.1833 - val_categorical_accuracy: 0.9452 - 620ms/epoch - 4ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0704 - categorical_accuracy: 0.9758 - val_loss: 0.1798 - val_categorical_accuracy: 0.9489 - 620ms/epoch - 4ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9763 - val_loss: 0.1822 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9774 - val_loss: 0.1845 - val_categorical_accuracy: 0.9524 - 620ms/epoch - 4ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0686 - categorical_accuracy: 0.9765 - val_loss: 0.1851 - val_categorical_accuracy: 0.9527 - 610ms/epoch - 4ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9760 - val_loss: 0.1769 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9773 - val_loss: 0.1793 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0659 - categorical_accuracy: 0.9769 - val_loss: 0.1813 - val_categorical_accuracy: 0.9532 - 620ms/epoch - 4ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0654 - categorical_accuracy: 0.9774 - val_loss: 0.1996 - val_categorical_accuracy: 0.9479 - 610ms/epoch - 4ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9758 - val_loss: 0.2114 - val_categorical_accuracy: 0.9446 - 620ms/epoch - 4ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0922 - categorical_accuracy: 0.9689 - val_loss: 0.1800 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9778 - val_loss: 0.1720 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9779 - val_loss: 0.1796 - val_categorical_accuracy: 0.9534 - 610ms/epoch - 4ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9780 - val_loss: 0.1736 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0890 - categorical_accuracy: 0.9716 - val_loss: 0.1740 - val_categorical_accuracy: 0.9544 - 610ms/epoch - 4ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9776 - val_loss: 0.2237 - val_categorical_accuracy: 0.9388 - 610ms/epoch - 4ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9777 - val_loss: 0.1809 - val_categorical_accuracy: 0.9544 - 610ms/epoch - 4ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9768 - val_loss: 0.2085 - val_categorical_accuracy: 0.9470 - 620ms/epoch - 4ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.1072 - categorical_accuracy: 0.9676 - val_loss: 0.2056 - val_categorical_accuracy: 0.9399 - 620ms/epoch - 4ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9781 - val_loss: 0.2204 - val_categorical_accuracy: 0.9438 - 620ms/epoch - 4ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0730 - categorical_accuracy: 0.9749 - val_loss: 0.1773 - val_categorical_accuracy: 0.9523 - 620ms/epoch - 4ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9780 - val_loss: 0.1769 - val_categorical_accuracy: 0.9527 - 610ms/epoch - 4ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9787 - val_loss: 0.1834 - val_categorical_accuracy: 0.9544 - 614ms/epoch - 4ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9773 - val_loss: 0.2131 - val_categorical_accuracy: 0.9440 - 610ms/epoch - 4ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9768 - val_loss: 0.1831 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9785 - val_loss: 0.1876 - val_categorical_accuracy: 0.9524 - 610ms/epoch - 4ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9717 - val_loss: 0.1855 - val_categorical_accuracy: 0.9499 - 610ms/epoch - 4ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0616 - categorical_accuracy: 0.9788 - val_loss: 0.1925 - val_categorical_accuracy: 0.9510 - 620ms/epoch - 4ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9780 - val_loss: 0.1950 - val_categorical_accuracy: 0.9507 - 620ms/epoch - 4ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9777 - val_loss: 0.2089 - val_categorical_accuracy: 0.9427 - 610ms/epoch - 4ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.1026 - categorical_accuracy: 0.9684 - val_loss: 0.1691 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9788 - val_loss: 0.1932 - val_categorical_accuracy: 0.9474 - 610ms/epoch - 4ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0635 - categorical_accuracy: 0.9779 - val_loss: 0.1874 - val_categorical_accuracy: 0.9492 - 620ms/epoch - 4ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0625 - categorical_accuracy: 0.9782 - val_loss: 0.2083 - val_categorical_accuracy: 0.9476 - 620ms/epoch - 4ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.1814 - categorical_accuracy: 0.9519 - val_loss: 0.2378 - val_categorical_accuracy: 0.9253 - 620ms/epoch - 4ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0801 - categorical_accuracy: 0.9725 - val_loss: 0.1683 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9783 - val_loss: 0.1957 - val_categorical_accuracy: 0.9490 - 620ms/epoch - 4ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9793 - val_loss: 0.1940 - val_categorical_accuracy: 0.9534 - 610ms/epoch - 4ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9792 - val_loss: 0.1859 - val_categorical_accuracy: 0.9519 - 610ms/epoch - 4ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0835 - categorical_accuracy: 0.9732 - val_loss: 0.1837 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9786 - val_loss: 0.1918 - val_categorical_accuracy: 0.9520 - 610ms/epoch - 4ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9782 - val_loss: 0.1747 - val_categorical_accuracy: 0.9556 - 610ms/epoch - 4ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9794 - val_loss: 0.1814 - val_categorical_accuracy: 0.9537 - 610ms/epoch - 4ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9786 - val_loss: 0.1979 - val_categorical_accuracy: 0.9522 - 610ms/epoch - 4ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9786 - val_loss: 0.2672 - val_categorical_accuracy: 0.9327 - 610ms/epoch - 4ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.1587 - categorical_accuracy: 0.9558 - val_loss: 0.1763 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9789 - val_loss: 0.1856 - val_categorical_accuracy: 0.9515 - 620ms/epoch - 4ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9787 - val_loss: 0.2072 - val_categorical_accuracy: 0.9477 - 620ms/epoch - 4ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9762 - val_loss: 0.1937 - val_categorical_accuracy: 0.9483 - 620ms/epoch - 4ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9789 - val_loss: 0.1920 - val_categorical_accuracy: 0.9486 - 610ms/epoch - 4ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9781 - val_loss: 0.1921 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9792 - val_loss: 0.1849 - val_categorical_accuracy: 0.9544 - 610ms/epoch - 4ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9792 - val_loss: 0.1801 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9782 - val_loss: 0.1954 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9785 - val_loss: 0.1766 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9787 - val_loss: 0.2047 - val_categorical_accuracy: 0.9499 - 610ms/epoch - 4ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9792 - val_loss: 0.1958 - val_categorical_accuracy: 0.9523 - 610ms/epoch - 4ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9784 - val_loss: 0.1834 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9784 - val_loss: 0.1835 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9774 - val_loss: 0.2269 - val_categorical_accuracy: 0.9443 - 610ms/epoch - 4ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9782 - val_loss: 0.2226 - val_categorical_accuracy: 0.9467 - 620ms/epoch - 4ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9779 - val_loss: 0.2360 - val_categorical_accuracy: 0.9359 - 610ms/epoch - 4ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.1380 - categorical_accuracy: 0.9621 - val_loss: 0.1758 - val_categorical_accuracy: 0.9537 - 610ms/epoch - 4ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9783 - val_loss: 0.1948 - val_categorical_accuracy: 0.9532 - 620ms/epoch - 4ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9793 - val_loss: 0.1821 - val_categorical_accuracy: 0.9546 - 610ms/epoch - 4ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9802 - val_loss: 0.2224 - val_categorical_accuracy: 0.9461 - 650ms/epoch - 5ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9784 - val_loss: 0.1767 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9790 - val_loss: 0.1898 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9787 - val_loss: 0.1708 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9721 - val_loss: 0.1889 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9797 - val_loss: 0.2030 - val_categorical_accuracy: 0.9462 - 620ms/epoch - 4ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9790 - val_loss: 0.2089 - val_categorical_accuracy: 0.9487 - 610ms/epoch - 4ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9793 - val_loss: 0.2065 - val_categorical_accuracy: 0.9510 - 610ms/epoch - 4ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9794 - val_loss: 0.1910 - val_categorical_accuracy: 0.9552 - 610ms/epoch - 4ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9795 - val_loss: 0.2023 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9791 - val_loss: 0.1842 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9794 - val_loss: 0.2053 - val_categorical_accuracy: 0.9502 - 610ms/epoch - 4ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9791 - val_loss: 0.2274 - val_categorical_accuracy: 0.9468 - 610ms/epoch - 4ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9788 - val_loss: 0.1920 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.1174 - categorical_accuracy: 0.9669 - val_loss: 0.1853 - val_categorical_accuracy: 0.9556 - 610ms/epoch - 4ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9804 - val_loss: 0.1812 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9794 - val_loss: 0.1926 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.1097 - categorical_accuracy: 0.9706 - val_loss: 3.1042 - val_categorical_accuracy: 0.5607 - 610ms/epoch - 4ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.1431 - categorical_accuracy: 0.9569 - val_loss: 0.1727 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9799 - val_loss: 0.1962 - val_categorical_accuracy: 0.9499 - 610ms/epoch - 4ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9797 - val_loss: 0.1843 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9805 - val_loss: 0.1877 - val_categorical_accuracy: 0.9534 - 620ms/epoch - 4ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9797 - val_loss: 0.1883 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9799 - val_loss: 0.2058 - val_categorical_accuracy: 0.9526 - 610ms/epoch - 4ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9804 - val_loss: 0.1820 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9792 - val_loss: 0.2273 - val_categorical_accuracy: 0.9397 - 610ms/epoch - 4ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0925 - categorical_accuracy: 0.9721 - val_loss: 0.1960 - val_categorical_accuracy: 0.9514 - 610ms/epoch - 4ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9795 - val_loss: 0.1898 - val_categorical_accuracy: 0.9548 - 610ms/epoch - 4ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9804 - val_loss: 0.1867 - val_categorical_accuracy: 0.9540 - 610ms/epoch - 4ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.1026 - categorical_accuracy: 0.9697 - val_loss: 0.1790 - val_categorical_accuracy: 0.9528 - 610ms/epoch - 4ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9802 - val_loss: 0.1828 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9809 - val_loss: 0.1896 - val_categorical_accuracy: 0.9554 - 610ms/epoch - 4ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9806 - val_loss: 0.2044 - val_categorical_accuracy: 0.9534 - 620ms/epoch - 4ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9806 - val_loss: 0.2146 - val_categorical_accuracy: 0.9479 - 610ms/epoch - 4ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0579 - categorical_accuracy: 0.9799 - val_loss: 0.2131 - val_categorical_accuracy: 0.9465 - 610ms/epoch - 4ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9717 - val_loss: 0.1739 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0558 - categorical_accuracy: 0.9809 - val_loss: 0.1967 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.1151 - categorical_accuracy: 0.9669 - val_loss: 0.1792 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9808 - val_loss: 0.1904 - val_categorical_accuracy: 0.9531 - 610ms/epoch - 4ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9810 - val_loss: 0.1871 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9800 - val_loss: 0.1916 - val_categorical_accuracy: 0.9505 - 620ms/epoch - 4ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9803 - val_loss: 0.1894 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0912 - categorical_accuracy: 0.9715 - val_loss: 0.2660 - val_categorical_accuracy: 0.9258 - 610ms/epoch - 4ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9792 - val_loss: 0.1784 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9814 - val_loss: 0.1844 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9811 - val_loss: 0.1942 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9803 - val_loss: 0.1917 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9812 - val_loss: 0.2002 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9800 - val_loss: 0.1994 - val_categorical_accuracy: 0.9533 - 610ms/epoch - 4ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9798 - val_loss: 0.2028 - val_categorical_accuracy: 0.9512 - 610ms/epoch - 4ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9811 - val_loss: 0.2107 - val_categorical_accuracy: 0.9497 - 620ms/epoch - 4ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0915 - categorical_accuracy: 0.9716 - val_loss: 0.1818 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9810 - val_loss: 0.1845 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9808 - val_loss: 0.1906 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9809 - val_loss: 0.2002 - val_categorical_accuracy: 0.9508 - 800ms/epoch - 6ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9803 - val_loss: 0.2115 - val_categorical_accuracy: 0.9503 - 634ms/epoch - 4ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9805 - val_loss: 0.2541 - val_categorical_accuracy: 0.9377 - 630ms/epoch - 4ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.1279 - categorical_accuracy: 0.9647 - val_loss: 0.1859 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9811 - val_loss: 0.2016 - val_categorical_accuracy: 0.9515 - 610ms/epoch - 4ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9809 - val_loss: 0.1867 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9816 - val_loss: 0.1985 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9814 - val_loss: 0.1939 - val_categorical_accuracy: 0.9518 - 620ms/epoch - 4ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9819 - val_loss: 0.2163 - val_categorical_accuracy: 0.9493 - 620ms/epoch - 4ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9801 - val_loss: 0.1863 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.1053 - categorical_accuracy: 0.9694 - val_loss: 0.1789 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9802 - val_loss: 0.1781 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9815 - val_loss: 0.2108 - val_categorical_accuracy: 0.9486 - 620ms/epoch - 4ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9809 - val_loss: 0.1957 - val_categorical_accuracy: 0.9533 - 620ms/epoch - 4ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9804 - val_loss: 0.1939 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9813 - val_loss: 0.1962 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9809 - val_loss: 0.2179 - val_categorical_accuracy: 0.9462 - 620ms/epoch - 4ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9743 - val_loss: 0.1792 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9817 - val_loss: 0.2047 - val_categorical_accuracy: 0.9534 - 610ms/epoch - 4ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9797 - val_loss: 0.2009 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0601 - categorical_accuracy: 0.9791 - val_loss: 0.1970 - val_categorical_accuracy: 0.9492 - 620ms/epoch - 4ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9812 - val_loss: 0.2055 - val_categorical_accuracy: 0.9489 - 620ms/epoch - 4ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9800 - val_loss: 0.1983 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.1080 - categorical_accuracy: 0.9683 - val_loss: 0.1993 - val_categorical_accuracy: 0.9495 - 620ms/epoch - 4ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9808 - val_loss: 0.1877 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9813 - val_loss: 0.1868 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9818 - val_loss: 0.1845 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9815 - val_loss: 0.1937 - val_categorical_accuracy: 0.9541 - 620ms/epoch - 4ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9815 - val_loss: 0.2101 - val_categorical_accuracy: 0.9526 - 610ms/epoch - 4ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9815 - val_loss: 0.1986 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9807 - val_loss: 0.2021 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9814 - val_loss: 0.2120 - val_categorical_accuracy: 0.9516 - 620ms/epoch - 4ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9812 - val_loss: 0.1953 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9796 - val_loss: 0.2235 - val_categorical_accuracy: 0.9476 - 610ms/epoch - 4ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9801 - val_loss: 0.1852 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9809 - val_loss: 0.1848 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9805 - val_loss: 0.2045 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9812 - val_loss: 0.1941 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9816 - val_loss: 0.2029 - val_categorical_accuracy: 0.9527 - 610ms/epoch - 4ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9806 - val_loss: 0.1981 - val_categorical_accuracy: 0.9544 - 620ms/epoch - 4ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0955 - categorical_accuracy: 0.9721 - val_loss: 0.2170 - val_categorical_accuracy: 0.9497 - 620ms/epoch - 4ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9816 - val_loss: 0.1922 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9818 - val_loss: 0.1898 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0949 - categorical_accuracy: 0.9713 - val_loss: 0.1776 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9809 - val_loss: 0.1894 - val_categorical_accuracy: 0.9558 - 650ms/epoch - 5ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9820 - val_loss: 0.1792 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9818 - val_loss: 0.1983 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.1314 - categorical_accuracy: 0.9671 - val_loss: 0.3019 - val_categorical_accuracy: 0.9116 - 620ms/epoch - 4ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9760 - val_loss: 0.1752 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9823 - val_loss: 0.1830 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9823 - val_loss: 0.1916 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9823 - val_loss: 0.1830 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9823 - val_loss: 0.1938 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9823 - val_loss: 0.2383 - val_categorical_accuracy: 0.9474 - 610ms/epoch - 4ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9813 - val_loss: 0.2270 - val_categorical_accuracy: 0.9499 - 620ms/epoch - 4ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9818 - val_loss: 0.2028 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9820 - val_loss: 0.1928 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.1004 - categorical_accuracy: 0.9716 - val_loss: 0.1885 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9825 - val_loss: 0.1904 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9812 - val_loss: 0.1986 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9815 - val_loss: 0.1968 - val_categorical_accuracy: 0.9519 - 610ms/epoch - 4ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9818 - val_loss: 0.1957 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9822 - val_loss: 0.2090 - val_categorical_accuracy: 0.9523 - 620ms/epoch - 4ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9820 - val_loss: 0.1975 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9819 - val_loss: 0.2225 - val_categorical_accuracy: 0.9481 - 610ms/epoch - 4ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.2099 - categorical_accuracy: 0.9447 - val_loss: 0.2051 - val_categorical_accuracy: 0.9505 - 620ms/epoch - 4ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9808 - val_loss: 0.1831 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9813 - val_loss: 0.2052 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9812 - val_loss: 0.1921 - val_categorical_accuracy: 0.9557 - 610ms/epoch - 4ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9817 - val_loss: 0.1991 - val_categorical_accuracy: 0.9545 - 620ms/epoch - 4ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9822 - val_loss: 0.2157 - val_categorical_accuracy: 0.9508 - 620ms/epoch - 4ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9824 - val_loss: 0.1960 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9825 - val_loss: 0.1889 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9824 - val_loss: 0.1939 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9818 - val_loss: 0.1977 - val_categorical_accuracy: 0.9519 - 610ms/epoch - 4ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9822 - val_loss: 0.1871 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.1057 - categorical_accuracy: 0.9695 - val_loss: 0.1850 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9821 - val_loss: 0.1868 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9828 - val_loss: 0.1855 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9820 - val_loss: 0.2006 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9824 - val_loss: 0.2134 - val_categorical_accuracy: 0.9504 - 610ms/epoch - 4ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9808 - val_loss: 0.1928 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9823 - val_loss: 0.2022 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.1053 - categorical_accuracy: 0.9702 - val_loss: 0.1761 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9826 - val_loss: 0.1894 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9827 - val_loss: 0.1872 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9826 - val_loss: 0.1907 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9821 - val_loss: 0.1991 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9828 - val_loss: 0.1957 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9818 - val_loss: 0.2241 - val_categorical_accuracy: 0.9489 - 620ms/epoch - 4ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9815 - val_loss: 0.1967 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9823 - val_loss: 0.2034 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.1942 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9813 - val_loss: 0.1982 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9821 - val_loss: 0.2195 - val_categorical_accuracy: 0.9535 - 620ms/epoch - 4ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.2099 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9815 - val_loss: 0.2029 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9823 - val_loss: 0.2133 - val_categorical_accuracy: 0.9515 - 610ms/epoch - 4ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9817 - val_loss: 0.2136 - val_categorical_accuracy: 0.9535 - 621ms/epoch - 4ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9816 - val_loss: 0.1932 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9823 - val_loss: 0.1915 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9819 - val_loss: 0.2030 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.1246 - categorical_accuracy: 0.9662 - val_loss: 0.1868 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9817 - val_loss: 0.1942 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.1998 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.2052 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9830 - val_loss: 0.1953 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9822 - val_loss: 0.2097 - val_categorical_accuracy: 0.9544 - 620ms/epoch - 4ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9821 - val_loss: 0.2266 - val_categorical_accuracy: 0.9505 - 620ms/epoch - 4ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.1723 - categorical_accuracy: 0.9552 - val_loss: 0.1914 - val_categorical_accuracy: 0.9495 - 620ms/epoch - 4ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9804 - val_loss: 0.1909 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9832 - val_loss: 0.1932 - val_categorical_accuracy: 0.9529 - 610ms/epoch - 4ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9832 - val_loss: 0.1820 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9825 - val_loss: 0.1891 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9828 - val_loss: 0.1981 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9808 - val_loss: 0.2209 - val_categorical_accuracy: 0.9485 - 610ms/epoch - 4ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9829 - val_loss: 0.2059 - val_categorical_accuracy: 0.9536 - 610ms/epoch - 4ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9818 - val_loss: 0.2121 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.1971 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1941 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9836 - val_loss: 0.1984 - val_categorical_accuracy: 0.9548 - 610ms/epoch - 4ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9827 - val_loss: 0.2105 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9820 - val_loss: 0.2023 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9831 - val_loss: 0.2067 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9823 - val_loss: 0.2302 - val_categorical_accuracy: 0.9455 - 610ms/epoch - 4ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9710 - val_loss: 0.1939 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9828 - val_loss: 0.2124 - val_categorical_accuracy: 0.9497 - 620ms/epoch - 4ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9826 - val_loss: 0.2176 - val_categorical_accuracy: 0.9507 - 610ms/epoch - 4ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9821 - val_loss: 0.1901 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1976 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9830 - val_loss: 0.2356 - val_categorical_accuracy: 0.9492 - 610ms/epoch - 4ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9829 - val_loss: 0.2001 - val_categorical_accuracy: 0.9537 - 620ms/epoch - 4ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.2267 - val_categorical_accuracy: 0.9484 - 610ms/epoch - 4ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9826 - val_loss: 0.1925 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9816 - val_loss: 0.2100 - val_categorical_accuracy: 0.9562 - 610ms/epoch - 4ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9811 - val_loss: 0.2070 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9833 - val_loss: 0.2041 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.1552 - categorical_accuracy: 0.9583 - val_loss: 0.2411 - val_categorical_accuracy: 0.9310 - 620ms/epoch - 4ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9771 - val_loss: 0.1890 - val_categorical_accuracy: 0.9559 - 640ms/epoch - 5ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1938 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9837 - val_loss: 0.1892 - val_categorical_accuracy: 0.9562 - 640ms/epoch - 5ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9831 - val_loss: 0.1962 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9809 - val_loss: 0.1929 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9828 - val_loss: 0.2103 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9833 - val_loss: 0.1920 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9827 - val_loss: 0.2080 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9829 - val_loss: 0.2504 - val_categorical_accuracy: 0.9455 - 620ms/epoch - 4ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9794 - val_loss: 0.1999 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9829 - val_loss: 0.2033 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9829 - val_loss: 0.2030 - val_categorical_accuracy: 0.9548 - 610ms/epoch - 4ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9829 - val_loss: 0.2018 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.2017 - categorical_accuracy: 0.9454 - val_loss: 0.1962 - val_categorical_accuracy: 0.9537 - 610ms/epoch - 4ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9823 - val_loss: 0.1889 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9832 - val_loss: 0.1910 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9834 - val_loss: 0.1973 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9831 - val_loss: 0.1975 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9834 - val_loss: 0.2112 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2115 - val_categorical_accuracy: 0.9507 - 620ms/epoch - 4ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9829 - val_loss: 0.2240 - val_categorical_accuracy: 0.9491 - 620ms/epoch - 4ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9736 - val_loss: 0.1983 - val_categorical_accuracy: 0.9506 - 620ms/epoch - 4ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9821 - val_loss: 0.1958 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9840 - val_loss: 0.1890 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9838 - val_loss: 0.1922 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9827 - val_loss: 0.2011 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9828 - val_loss: 0.1996 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.1951 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.2022 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.3118 - val_categorical_accuracy: 0.9321 - 620ms/epoch - 4ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.3353 - categorical_accuracy: 0.9100 - val_loss: 0.1819 - val_categorical_accuracy: 0.9526 - 620ms/epoch - 4ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9796 - val_loss: 0.1817 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9828 - val_loss: 0.1969 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9829 - val_loss: 0.2075 - val_categorical_accuracy: 0.9506 - 620ms/epoch - 4ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9830 - val_loss: 0.1892 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9833 - val_loss: 0.1927 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9835 - val_loss: 0.2058 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9824 - val_loss: 0.2104 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9833 - val_loss: 0.1948 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9838 - val_loss: 0.1952 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9834 - val_loss: 0.1947 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9835 - val_loss: 0.2238 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.2079 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9831 - val_loss: 0.2345 - val_categorical_accuracy: 0.9496 - 620ms/epoch - 4ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9816 - val_loss: 0.2167 - val_categorical_accuracy: 0.9513 - 620ms/epoch - 4ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9824 - val_loss: 0.2182 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9825 - val_loss: 0.2105 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.2016 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9834 - val_loss: 0.2078 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9822 - val_loss: 0.2126 - val_categorical_accuracy: 0.9550 - 610ms/epoch - 4ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1998 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9828 - val_loss: 0.2059 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9816 - val_loss: 0.2109 - val_categorical_accuracy: 0.9537 - 620ms/epoch - 4ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9831 - val_loss: 0.2079 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9827 - val_loss: 0.2118 - val_categorical_accuracy: 0.9525 - 610ms/epoch - 4ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0967 - categorical_accuracy: 0.9755 - val_loss: 0.5929 - val_categorical_accuracy: 0.8399 - 610ms/epoch - 4ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9729 - val_loss: 0.1964 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9841 - val_loss: 0.1922 - val_categorical_accuracy: 0.9553 - 621ms/epoch - 4ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.2022 - val_categorical_accuracy: 0.9561 - 780ms/epoch - 6ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9835 - val_loss: 0.1982 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9828 - val_loss: 0.2355 - val_categorical_accuracy: 0.9471 - 620ms/epoch - 4ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.1998 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.2055 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9829 - val_loss: 0.2027 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9843 - val_loss: 0.2087 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9838 - val_loss: 0.2279 - val_categorical_accuracy: 0.9512 - 620ms/epoch - 4ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9832 - val_loss: 0.2040 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9830 - val_loss: 0.2120 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.1007 - categorical_accuracy: 0.9729 - val_loss: 0.2249 - val_categorical_accuracy: 0.9416 - 630ms/epoch - 4ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9813 - val_loss: 0.1888 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9839 - val_loss: 0.2311 - val_categorical_accuracy: 0.9462 - 620ms/epoch - 4ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9834 - val_loss: 0.1944 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.2066 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9833 - val_loss: 0.2229 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.2306 - val_categorical_accuracy: 0.9468 - 630ms/epoch - 4ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0957 - categorical_accuracy: 0.9728 - val_loss: 0.1871 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9843 - val_loss: 0.1916 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9844 - val_loss: 0.2062 - val_categorical_accuracy: 0.9538 - 620ms/epoch - 4ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9842 - val_loss: 0.2063 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.1517 - categorical_accuracy: 0.9589 - val_loss: 0.1799 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9843 - val_loss: 0.1892 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9839 - val_loss: 0.1909 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9833 - val_loss: 0.1914 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9846 - val_loss: 0.2081 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.2043 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9837 - val_loss: 0.2102 - val_categorical_accuracy: 0.9514 - 620ms/epoch - 4ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0734 - categorical_accuracy: 0.9774 - val_loss: 0.2178 - val_categorical_accuracy: 0.9495 - 620ms/epoch - 4ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9830 - val_loss: 0.2076 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.1988 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9844 - val_loss: 0.2187 - val_categorical_accuracy: 0.9499 - 610ms/epoch - 4ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.2034 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.1099 - categorical_accuracy: 0.9704 - val_loss: 0.1868 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9844 - val_loss: 0.1955 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9847 - val_loss: 0.1896 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9843 - val_loss: 0.1981 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.1953 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.2133 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9826 - val_loss: 0.2101 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9839 - val_loss: 0.1975 - val_categorical_accuracy: 0.9575 - 650ms/epoch - 5ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9830 - val_loss: 0.2058 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9843 - val_loss: 0.2387 - val_categorical_accuracy: 0.9470 - 630ms/epoch - 4ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0953 - categorical_accuracy: 0.9713 - val_loss: 0.1882 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9831 - val_loss: 0.2072 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9840 - val_loss: 0.2044 - val_categorical_accuracy: 0.9535 - 620ms/epoch - 4ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.1994 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9842 - val_loss: 0.2005 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9849 - val_loss: 0.2104 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9835 - val_loss: 0.2065 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.2046 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9846 - val_loss: 0.2054 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9840 - val_loss: 0.2062 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9840 - val_loss: 0.2123 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.2097 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9836 - val_loss: 0.2315 - val_categorical_accuracy: 0.9514 - 620ms/epoch - 4ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.2282 - val_categorical_accuracy: 0.9506 - 620ms/epoch - 4ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9832 - val_loss: 0.2124 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.2154 - val_categorical_accuracy: 0.9538 - 620ms/epoch - 4ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2334 - val_categorical_accuracy: 0.9506 - 620ms/epoch - 4ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9830 - val_loss: 0.2237 - val_categorical_accuracy: 0.9493 - 620ms/epoch - 4ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.2035 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.2220 - categorical_accuracy: 0.9401 - val_loss: 0.2262 - val_categorical_accuracy: 0.9375 - 620ms/epoch - 4ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0692 - categorical_accuracy: 0.9759 - val_loss: 0.1908 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9835 - val_loss: 0.1927 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9841 - val_loss: 0.1915 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.2249 - val_categorical_accuracy: 0.9528 - 640ms/epoch - 5ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.2026 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.2022 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9836 - val_loss: 0.2243 - val_categorical_accuracy: 0.9518 - 610ms/epoch - 4ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.2130 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.2205 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.2320 - val_categorical_accuracy: 0.9523 - 610ms/epoch - 4ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.2551 - val_categorical_accuracy: 0.9456 - 620ms/epoch - 4ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9837 - val_loss: 0.2090 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.2354 - val_categorical_accuracy: 0.9497 - 610ms/epoch - 4ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.1006 - categorical_accuracy: 0.9713 - val_loss: 0.2114 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9845 - val_loss: 0.2059 - val_categorical_accuracy: 0.9534 - 610ms/epoch - 4ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9844 - val_loss: 0.2123 - val_categorical_accuracy: 0.9544 - 620ms/epoch - 4ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9841 - val_loss: 0.2059 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.2023 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.2251 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.2007 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9844 - val_loss: 0.2565 - val_categorical_accuracy: 0.9453 - 620ms/epoch - 4ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.1969 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.2167 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.2110 - val_categorical_accuracy: 0.9545 - 620ms/epoch - 4ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.2090 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9833 - val_loss: 0.2132 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9726 - val_loss: 0.1954 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.2161 - val_categorical_accuracy: 0.9525 - 620ms/epoch - 4ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9841 - val_loss: 0.2012 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.2324 - val_categorical_accuracy: 0.9444 - 620ms/epoch - 4ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.2057 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9840 - val_loss: 0.2292 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9845 - val_loss: 0.2220 - val_categorical_accuracy: 0.9558 - 621ms/epoch - 4ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.2061 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.1049 - categorical_accuracy: 0.9709 - val_loss: 0.2032 - val_categorical_accuracy: 0.9520 - 620ms/epoch - 4ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9838 - val_loss: 0.2025 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.2016 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.2084 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9846 - val_loss: 0.2071 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.2052 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.2172 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9841 - val_loss: 0.2048 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.1992 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9838 - val_loss: 0.2263 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.2722 - val_categorical_accuracy: 0.9410 - 620ms/epoch - 4ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9831 - val_loss: 0.2106 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9845 - val_loss: 0.2264 - val_categorical_accuracy: 0.9510 - 620ms/epoch - 4ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.2207 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9837 - val_loss: 0.2079 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9835 - val_loss: 0.2272 - val_categorical_accuracy: 0.9487 - 610ms/epoch - 4ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9834 - val_loss: 0.2160 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.2129 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9840 - val_loss: 0.2269 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.2094 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9835 - val_loss: 0.2166 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9839 - val_loss: 0.2157 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9831 - val_loss: 0.2338 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9836 - val_loss: 0.2177 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.2164 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9839 - val_loss: 0.2358 - val_categorical_accuracy: 0.9488 - 620ms/epoch - 4ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.1132 - categorical_accuracy: 0.9696 - val_loss: 0.2022 - val_categorical_accuracy: 0.9512 - 620ms/epoch - 4ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9827 - val_loss: 0.1938 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.2047 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.2078 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.2225 - val_categorical_accuracy: 0.9531 - 620ms/epoch - 4ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9843 - val_loss: 0.2043 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.2394 - val_categorical_accuracy: 0.9509 - 620ms/epoch - 4ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.2213 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9842 - val_loss: 0.2087 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0930 - categorical_accuracy: 0.9742 - val_loss: 0.2233 - val_categorical_accuracy: 0.9480 - 630ms/epoch - 4ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.2221 - val_categorical_accuracy: 0.9507 - 620ms/epoch - 4ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9832 - val_loss: 0.2066 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9845 - val_loss: 0.2019 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.1996 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9852 - val_loss: 0.2024 - val_categorical_accuracy: 0.9562 - 640ms/epoch - 5ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2272 - val_categorical_accuracy: 0.9547 - 640ms/epoch - 5ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9828 - val_loss: 0.2105 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9838 - val_loss: 0.2179 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9841 - val_loss: 0.2080 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.2103 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.2112 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9836 - val_loss: 0.2256 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2068 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.2261 - val_categorical_accuracy: 0.9513 - 620ms/epoch - 4ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9803 - val_loss: 0.2139 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9843 - val_loss: 0.2251 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9845 - val_loss: 0.2263 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.2233 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9837 - val_loss: 0.2134 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.2091 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.1513 - categorical_accuracy: 0.9610 - val_loss: 0.2020 - val_categorical_accuracy: 0.9516 - 630ms/epoch - 4ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9823 - val_loss: 0.2039 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.2104 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.2041 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.2088 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.2115 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2170 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2163 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.2236 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.2228 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9853 - val_loss: 0.2255 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.2379 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.2213 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2169 - val_categorical_accuracy: 0.9541 - 620ms/epoch - 4ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.2272 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.2165 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9850 - val_loss: 0.2334 - val_categorical_accuracy: 0.9513 - 630ms/epoch - 4ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.1867 - categorical_accuracy: 0.9505 - val_loss: 0.1896 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9846 - val_loss: 0.1987 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9853 - val_loss: 0.2023 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1960 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9856 - val_loss: 0.2063 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.2129 - val_categorical_accuracy: 0.9540 - 640ms/epoch - 5ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.2171 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.2092 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.2348 - val_categorical_accuracy: 0.9482 - 620ms/epoch - 4ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0827 - categorical_accuracy: 0.9751 - val_loss: 0.2008 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9856 - val_loss: 0.2142 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.2252 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9852 - val_loss: 0.2096 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.2145 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9843 - val_loss: 0.2160 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.2518 - val_categorical_accuracy: 0.9427 - 620ms/epoch - 4ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9840 - val_loss: 0.2048 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9858 - val_loss: 0.2222 - val_categorical_accuracy: 0.9544 - 620ms/epoch - 4ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9843 - val_loss: 0.2177 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.2147 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9841 - val_loss: 0.7312 - val_categorical_accuracy: 0.8656 - 620ms/epoch - 4ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.3067 - categorical_accuracy: 0.9144 - val_loss: 0.1935 - val_categorical_accuracy: 0.9534 - 620ms/epoch - 4ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9815 - val_loss: 0.2020 - val_categorical_accuracy: 0.9556 - 617ms/epoch - 4ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.2021 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.2050 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.1999 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2188 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9855 - val_loss: 0.2022 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9843 - val_loss: 0.2032 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9854 - val_loss: 0.2235 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.2124 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.2109 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.2081 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2152 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.2134 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9841 - val_loss: 0.2319 - val_categorical_accuracy: 0.9504 - 630ms/epoch - 4ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.2298 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.2319 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9856 - val_loss: 0.2243 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.2303 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9842 - val_loss: 0.2212 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9843 - val_loss: 0.2294 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.1193 - categorical_accuracy: 0.9679 - val_loss: 0.2004 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9851 - val_loss: 0.2079 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9856 - val_loss: 0.2219 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2441 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.2275 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.2257 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.2152 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.2185 - val_categorical_accuracy: 0.9553 - 790ms/epoch - 6ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.1048 - categorical_accuracy: 0.9716 - val_loss: 0.2012 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9855 - val_loss: 0.2072 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.2008 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9861 - val_loss: 0.2076 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.2114 - val_categorical_accuracy: 0.9570 - 650ms/epoch - 5ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.2164 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9828 - val_loss: 0.2173 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.2092 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9857 - val_loss: 0.2145 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9854 - val_loss: 0.2669 - val_categorical_accuracy: 0.9384 - 630ms/epoch - 4ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.1465 - categorical_accuracy: 0.9617 - val_loss: 0.2005 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9855 - val_loss: 0.2336 - val_categorical_accuracy: 0.9509 - 630ms/epoch - 4ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9848 - val_loss: 0.2056 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.2113 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9862 - val_loss: 0.2119 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.2122 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.2128 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9846 - val_loss: 0.2111 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.2122 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.2312 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.2259 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9851 - val_loss: 0.2258 - val_categorical_accuracy: 0.9549 - 640ms/epoch - 5ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.2356 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9852 - val_loss: 0.2203 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9847 - val_loss: 0.2166 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2181 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.2278 - categorical_accuracy: 0.9415 - val_loss: 0.1979 - val_categorical_accuracy: 0.9519 - 620ms/epoch - 4ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9821 - val_loss: 0.1990 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9851 - val_loss: 0.2023 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9855 - val_loss: 0.2282 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.2124 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9859 - val_loss: 0.2071 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.2157 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.2075 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.2164 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.2089 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.2174 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.2158 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.2346 - val_categorical_accuracy: 0.9525 - 630ms/epoch - 4ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2140 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.2177 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.2227 - val_categorical_accuracy: 0.9534 - 620ms/epoch - 4ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.2241 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.1856 - categorical_accuracy: 0.9520 - val_loss: 0.2061 - val_categorical_accuracy: 0.9511 - 630ms/epoch - 4ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9824 - val_loss: 0.1930 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.2042 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.2102 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.2085 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2483 - val_categorical_accuracy: 0.9476 - 620ms/epoch - 4ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.2191 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.2135 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.2064 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.2130 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.2306 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.2220 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.2467 - val_categorical_accuracy: 0.9510 - 620ms/epoch - 4ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.2309 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.2268 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.2197 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.2443 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9857 - val_loss: 0.2747 - val_categorical_accuracy: 0.9435 - 620ms/epoch - 4ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.2285 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9848 - val_loss: 0.2280 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9847 - val_loss: 0.2575 - val_categorical_accuracy: 0.9526 - 620ms/epoch - 4ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9849 - val_loss: 0.2225 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9856 - val_loss: 0.2387 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.2202 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9856 - val_loss: 0.2272 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.2255 - val_categorical_accuracy: 0.9587 - 611ms/epoch - 4ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2194 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.2630 - val_categorical_accuracy: 0.9479 - 620ms/epoch - 4ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.2419 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.2522 - val_categorical_accuracy: 0.9470 - 620ms/epoch - 4ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0921 - categorical_accuracy: 0.9750 - val_loss: 0.2116 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.2196 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9860 - val_loss: 0.2245 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.2208 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.2188 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9859 - val_loss: 0.2245 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.2296 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.2445 - val_categorical_accuracy: 0.9536 - 620ms/epoch - 4ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.2263 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.2762 - val_categorical_accuracy: 0.9483 - 620ms/epoch - 4ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9846 - val_loss: 0.2170 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9858 - val_loss: 0.2175 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.2474 - val_categorical_accuracy: 0.9537 - 620ms/epoch - 4ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.2345 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.2296 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.2290 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.2258 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.1003 - categorical_accuracy: 0.9735 - val_loss: 0.2231 - val_categorical_accuracy: 0.9471 - 620ms/epoch - 4ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.2087 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9863 - val_loss: 0.2131 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9861 - val_loss: 0.2139 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9863 - val_loss: 0.2200 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2231 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2515 - val_categorical_accuracy: 0.9526 - 610ms/epoch - 4ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2184 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.2279 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.2482 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.2234 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9853 - val_loss: 0.2305 - val_categorical_accuracy: 0.9541 - 620ms/epoch - 4ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.2437 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2408 - val_categorical_accuracy: 0.9538 - 633ms/epoch - 4ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.2302 - val_categorical_accuracy: 0.9564 - 670ms/epoch - 5ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9861 - val_loss: 0.2426 - val_categorical_accuracy: 0.9551 - 690ms/epoch - 5ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.2511 - val_categorical_accuracy: 0.9494 - 720ms/epoch - 5ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.2338 - val_categorical_accuracy: 0.9551 - 720ms/epoch - 5ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0946 - categorical_accuracy: 0.9776 - val_loss: 1.2313 - val_categorical_accuracy: 0.7218 - 730ms/epoch - 5ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.1039 - categorical_accuracy: 0.9658 - val_loss: 0.2142 - val_categorical_accuracy: 0.9565 - 780ms/epoch - 6ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9851 - val_loss: 0.2371 - val_categorical_accuracy: 0.9515 - 740ms/epoch - 5ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.2231 - val_categorical_accuracy: 0.9573 - 700ms/epoch - 5ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.2109 - val_categorical_accuracy: 0.9589 - 680ms/epoch - 5ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.2235 - val_categorical_accuracy: 0.9553 - 700ms/epoch - 5ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.2223 - val_categorical_accuracy: 0.9588 - 690ms/epoch - 5ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.2320 - val_categorical_accuracy: 0.9520 - 690ms/epoch - 5ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.2756 - val_categorical_accuracy: 0.9396 - 680ms/epoch - 5ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.1028 - categorical_accuracy: 0.9727 - val_loss: 0.2096 - val_categorical_accuracy: 0.9579 - 700ms/epoch - 5ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9862 - val_loss: 0.2142 - val_categorical_accuracy: 0.9571 - 710ms/epoch - 5ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2206 - val_categorical_accuracy: 0.9563 - 690ms/epoch - 5ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9862 - val_loss: 0.2140 - val_categorical_accuracy: 0.9585 - 670ms/epoch - 5ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2229 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9866 - val_loss: 0.2183 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2359 - val_categorical_accuracy: 0.9539 - 610ms/epoch - 4ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2125 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2383 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.2287 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2270 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2354 - val_categorical_accuracy: 0.9521 - 620ms/epoch - 4ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.2367 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9855 - val_loss: 0.2453 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.2513 - val_categorical_accuracy: 0.9512 - 620ms/epoch - 4ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2332 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.2308 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.1053 - categorical_accuracy: 0.9721 - val_loss: 0.2195 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9860 - val_loss: 0.2221 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.2179 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.2178 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.2365 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.2159 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2485 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2250 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.2323 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9859 - val_loss: 0.2484 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.2420 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.2244 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9858 - val_loss: 0.2313 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.2354 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.2409 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.2462 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.2234 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2271 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.2456 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.2303 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.1461 - categorical_accuracy: 0.9643 - val_loss: 0.2369 - val_categorical_accuracy: 0.9401 - 620ms/epoch - 4ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9811 - val_loss: 0.2022 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9864 - val_loss: 0.2120 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9868 - val_loss: 0.2258 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2172 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.2146 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2211 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2315 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2298 - val_categorical_accuracy: 0.9570 - 619ms/epoch - 4ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0893 - categorical_accuracy: 0.9763 - val_loss: 0.2267 - val_categorical_accuracy: 0.9460 - 620ms/epoch - 4ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.2097 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9865 - val_loss: 0.2289 - val_categorical_accuracy: 0.9569 - 610ms/epoch - 4ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.2136 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2246 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2309 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9866 - val_loss: 0.2241 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2310 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.2649 - val_categorical_accuracy: 0.9522 - 610ms/epoch - 4ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.2275 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2362 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2295 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.2172 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2237 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.2244 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.2668 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.2334 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9859 - val_loss: 0.2440 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.2352 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.2602 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.1486 - categorical_accuracy: 0.9639 - val_loss: 0.3000 - val_categorical_accuracy: 0.9131 - 620ms/epoch - 4ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9755 - val_loss: 0.2026 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.2002 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.2144 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9865 - val_loss: 0.2208 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2321 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2315 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2309 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.2377 - val_categorical_accuracy: 0.9532 - 610ms/epoch - 4ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0831 - categorical_accuracy: 0.9769 - val_loss: 0.2071 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9862 - val_loss: 0.2239 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9867 - val_loss: 0.2191 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2232 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2188 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2440 - val_categorical_accuracy: 0.9531 - 620ms/epoch - 4ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2429 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2404 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.2223 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2302 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9866 - val_loss: 0.2358 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.2327 - val_categorical_accuracy: 0.9575 - 650ms/epoch - 5ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2248 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9867 - val_loss: 0.2756 - val_categorical_accuracy: 0.9474 - 640ms/epoch - 5ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2373 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.2308 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2271 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9865 - val_loss: 0.2344 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2308 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9857 - val_loss: 0.2344 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2386 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.2440 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9841 - val_loss: 0.2323 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.2320 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.2361 - val_categorical_accuracy: 0.9562 - 610ms/epoch - 4ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.2742 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.2581 - val_categorical_accuracy: 0.9531 - 790ms/epoch - 6ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.2310 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.2568 - val_categorical_accuracy: 0.9538 - 620ms/epoch - 4ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9858 - val_loss: 0.2338 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.1140 - categorical_accuracy: 0.9703 - val_loss: 0.2227 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.2283 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9864 - val_loss: 0.2331 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2167 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2252 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2192 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2346 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.2238 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2451 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.1007 - categorical_accuracy: 0.9746 - val_loss: 0.2595 - val_categorical_accuracy: 0.9415 - 620ms/epoch - 4ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9835 - val_loss: 0.2300 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9867 - val_loss: 0.2295 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2269 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2226 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2458 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2275 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2378 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9870 - val_loss: 0.2344 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2358 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2370 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2378 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.1041 - categorical_accuracy: 0.9739 - val_loss: 0.2815 - val_categorical_accuracy: 0.9310 - 620ms/epoch - 4ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9807 - val_loss: 0.2177 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2392 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2303 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2361 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2256 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2237 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2276 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9791 - val_loss: 0.4011 - val_categorical_accuracy: 0.8993 - 620ms/epoch - 4ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9809 - val_loss: 0.2166 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2164 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9872 - val_loss: 0.2300 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2146 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2336 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2365 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2481 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9870 - val_loss: 0.2265 - val_categorical_accuracy: 0.9588 - 616ms/epoch - 4ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2322 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2280 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9863 - val_loss: 0.2320 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2316 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2335 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2305 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2343 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2493 - val_categorical_accuracy: 0.9513 - 620ms/epoch - 4ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2632 - val_categorical_accuracy: 0.9487 - 620ms/epoch - 4ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0959 - categorical_accuracy: 0.9743 - val_loss: 0.2214 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2244 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.2343 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2263 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9868 - val_loss: 0.2303 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2340 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.2278 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2273 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2282 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.2426 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2451 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2444 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2427 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2299 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9865 - val_loss: 0.2391 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0846 - categorical_accuracy: 0.9787 - val_loss: 0.3319 - val_categorical_accuracy: 0.9144 - 620ms/epoch - 4ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9814 - val_loss: 0.2198 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9867 - val_loss: 0.2520 - val_categorical_accuracy: 0.9503 - 620ms/epoch - 4ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2241 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2249 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2263 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.2366 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2356 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.2314 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2305 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2371 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2498 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2587 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2419 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9860 - val_loss: 0.2528 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2312 - val_categorical_accuracy: 0.9596 - 670ms/epoch - 5ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9674 - val_loss: 0.2124 - val_categorical_accuracy: 0.9513 - 620ms/epoch - 4ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.2197 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.2417 - val_categorical_accuracy: 0.9568 - 640ms/epoch - 5ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2207 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9873 - val_loss: 0.2354 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2308 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9874 - val_loss: 0.2299 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2324 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2267 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0932 - categorical_accuracy: 0.9741 - val_loss: 0.2231 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9866 - val_loss: 0.2154 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2233 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.2254 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2295 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2280 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2366 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9871 - val_loss: 0.2329 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2502 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0927 - categorical_accuracy: 0.9758 - val_loss: 0.2451 - val_categorical_accuracy: 0.9424 - 620ms/epoch - 4ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.2160 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2255 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9870 - val_loss: 0.2350 - val_categorical_accuracy: 0.9544 - 620ms/epoch - 4ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2594 - val_categorical_accuracy: 0.9506 - 620ms/epoch - 4ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2197 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9874 - val_loss: 0.2258 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2485 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2605 - val_categorical_accuracy: 0.9489 - 610ms/epoch - 4ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.1206 - categorical_accuracy: 0.9687 - val_loss: 0.2079 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9870 - val_loss: 0.2244 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9869 - val_loss: 0.2207 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2208 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2201 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2297 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2225 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2226 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2337 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2615 - val_categorical_accuracy: 0.9524 - 620ms/epoch - 4ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2376 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2385 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2418 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2321 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2268 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2315 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.1349 - categorical_accuracy: 0.9653 - val_loss: 0.2192 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9866 - val_loss: 0.2230 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2338 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2226 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.2373 - val_categorical_accuracy: 0.9567 - 610ms/epoch - 4ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2325 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2244 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2334 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2404 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2332 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2471 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2655 - val_categorical_accuracy: 0.9515 - 620ms/epoch - 4ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.1039 - categorical_accuracy: 0.9725 - val_loss: 0.2191 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2340 - val_categorical_accuracy: 0.9564 - 623ms/epoch - 4ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2216 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2328 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2301 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2428 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2243 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2402 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2374 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2531 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2396 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2555 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.2346 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0960 - categorical_accuracy: 0.9751 - val_loss: 0.2348 - val_categorical_accuracy: 0.9445 - 620ms/epoch - 4ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.2200 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9876 - val_loss: 0.2225 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2315 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2384 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2346 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2271 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2262 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2397 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2417 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.2428 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2429 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2421 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2457 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2516 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2330 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2564 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9873 - val_loss: 0.2488 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9865 - val_loss: 1.8846 - val_categorical_accuracy: 0.7732 - 610ms/epoch - 4ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0915 - categorical_accuracy: 0.9745 - val_loss: 0.2262 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.2499 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2357 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2423 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2449 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2544 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.2373 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9874 - val_loss: 0.2591 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2408 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2418 - val_categorical_accuracy: 0.9589 - 680ms/epoch - 5ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2426 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2369 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2317 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2523 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2405 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9865 - val_loss: 0.2524 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2360 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2541 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.2563 - val_categorical_accuracy: 0.9554 - 610ms/epoch - 4ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9871 - val_loss: 0.2475 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2478 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2443 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.1764 - categorical_accuracy: 0.9547 - val_loss: 0.2217 - val_categorical_accuracy: 0.9523 - 620ms/epoch - 4ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.2202 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2170 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2223 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2291 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2399 - val_categorical_accuracy: 0.9581 - 790ms/epoch - 6ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2312 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2420 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2603 - val_categorical_accuracy: 0.9523 - 630ms/epoch - 4ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2363 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2398 - val_categorical_accuracy: 0.9573 - 650ms/epoch - 5ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2314 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2485 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2370 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2468 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2315 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2407 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.2746 - val_categorical_accuracy: 0.9513 - 630ms/epoch - 4ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2397 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2506 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2610 - val_categorical_accuracy: 0.9499 - 630ms/epoch - 4ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2497 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2356 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2431 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2569 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2623 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.2556 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2517 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2660 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.1301 - categorical_accuracy: 0.9667 - val_loss: 0.2100 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.2244 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2691 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.2315 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9876 - val_loss: 0.2314 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2423 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2296 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2470 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.2452 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2372 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2388 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2499 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2459 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2610 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2510 - val_categorical_accuracy: 0.9560 - 617ms/epoch - 4ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2554 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2493 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2428 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2577 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2549 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2496 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2386 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2589 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9867 - val_loss: 0.2494 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.3047 - val_categorical_accuracy: 0.9449 - 620ms/epoch - 4ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.1601 - categorical_accuracy: 0.9595 - val_loss: 0.2163 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2285 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9874 - val_loss: 0.2324 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9878 - val_loss: 0.2386 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9874 - val_loss: 0.2406 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2449 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2350 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9879 - val_loss: 0.2289 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2420 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2610 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2477 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2371 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0925 - categorical_accuracy: 0.9747 - val_loss: 0.2340 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9872 - val_loss: 0.2314 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2260 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2290 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9874 - val_loss: 0.2419 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2551 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2398 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2393 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2407 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2393 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9781 - val_loss: 0.2277 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2314 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2365 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2313 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2481 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2259 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2508 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2443 - val_categorical_accuracy: 0.9582 - 660ms/epoch - 5ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2464 - val_categorical_accuracy: 0.9567 - 640ms/epoch - 5ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2389 - val_categorical_accuracy: 0.9590 - 650ms/epoch - 5ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2520 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2538 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.2454 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2884 - val_categorical_accuracy: 0.9495 - 620ms/epoch - 4ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2529 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2612 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2496 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2665 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2428 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.2418 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2634 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.2669 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.3853 - categorical_accuracy: 0.8976 - val_loss: 0.3212 - val_categorical_accuracy: 0.9014 - 620ms/epoch - 4ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.1214 - categorical_accuracy: 0.9581 - val_loss: 0.2175 - val_categorical_accuracy: 0.9476 - 620ms/epoch - 4ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9810 - val_loss: 0.2226 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9850 - val_loss: 0.2279 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9857 - val_loss: 0.2202 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.2276 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9866 - val_loss: 0.2399 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2343 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.2271 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.2565 - val_categorical_accuracy: 0.9524 - 620ms/epoch - 4ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2334 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2574 - val_categorical_accuracy: 0.9523 - 620ms/epoch - 4ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2734 - val_categorical_accuracy: 0.9508 - 620ms/epoch - 4ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9866 - val_loss: 0.2439 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2471 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2364 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2372 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2430 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2382 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2382 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2418 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2458 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2472 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2371 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2437 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.2456 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2481 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2542 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2555 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.2626 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2425 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2740 - val_categorical_accuracy: 0.9538 - 620ms/epoch - 4ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2476 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2429 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9876 - val_loss: 0.2618 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2608 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2709 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2474 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.2476 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2578 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2598 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2577 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2525 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2465 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2597 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.1234 - categorical_accuracy: 0.9690 - val_loss: 0.2331 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2304 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2767 - val_categorical_accuracy: 0.9526 - 620ms/epoch - 4ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9876 - val_loss: 0.2512 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2742 - val_categorical_accuracy: 0.9531 - 620ms/epoch - 4ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2379 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2469 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2475 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2598 - val_categorical_accuracy: 0.9532 - 620ms/epoch - 4ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.7763 - val_categorical_accuracy: 0.8709 - 620ms/epoch - 4ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.1057 - categorical_accuracy: 0.9729 - val_loss: 0.2327 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2288 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2348 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2382 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9879 - val_loss: 0.2396 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.2568 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2363 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2398 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2538 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2491 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2629 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9879 - val_loss: 0.2474 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2607 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2560 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2468 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2539 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2740 - val_categorical_accuracy: 0.9514 - 620ms/epoch - 4ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2555 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2581 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.2492 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2617 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2714 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2608 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2482 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2461 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2490 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2505 - val_categorical_accuracy: 0.9593 - 670ms/epoch - 5ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2503 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2554 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2521 - val_categorical_accuracy: 0.9593 - 650ms/epoch - 5ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2590 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2857 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2717 - val_categorical_accuracy: 0.9532 - 620ms/epoch - 4ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2607 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.1538 - categorical_accuracy: 0.9610 - val_loss: 0.2328 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2206 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9873 - val_loss: 0.2255 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2322 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2405 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2418 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2425 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2420 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9880 - val_loss: 0.2398 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.2536 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2544 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2546 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2564 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2596 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.1039 - categorical_accuracy: 0.9758 - val_loss: 0.2724 - val_categorical_accuracy: 0.9294 - 620ms/epoch - 4ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9812 - val_loss: 0.2331 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9879 - val_loss: 0.2385 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9884 - val_loss: 0.2359 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2365 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2419 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9880 - val_loss: 0.2386 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2357 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2573 - val_categorical_accuracy: 0.9545 - 620ms/epoch - 4ms/step
processing fold # 4 
Epoch 1/1500
141/141 - 1s - loss: 1.9375 - categorical_accuracy: 0.3016 - val_loss: 1.6658 - val_categorical_accuracy: 0.3867 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5104 - categorical_accuracy: 0.4314 - val_loss: 1.3165 - val_categorical_accuracy: 0.5024 - 620ms/epoch - 4ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.2851 - categorical_accuracy: 0.5170 - val_loss: 1.4628 - val_categorical_accuracy: 0.4433 - 620ms/epoch - 4ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.2131 - categorical_accuracy: 0.5566 - val_loss: 1.3170 - val_categorical_accuracy: 0.5251 - 610ms/epoch - 4ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.0203 - categorical_accuracy: 0.6190 - val_loss: 0.9054 - val_categorical_accuracy: 0.6656 - 610ms/epoch - 4ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9217 - categorical_accuracy: 0.6581 - val_loss: 0.8704 - val_categorical_accuracy: 0.6769 - 610ms/epoch - 4ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8609 - categorical_accuracy: 0.6824 - val_loss: 0.7353 - val_categorical_accuracy: 0.7343 - 610ms/epoch - 4ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.8054 - categorical_accuracy: 0.7053 - val_loss: 0.6621 - val_categorical_accuracy: 0.7573 - 630ms/epoch - 4ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7235 - categorical_accuracy: 0.7316 - val_loss: 0.7596 - val_categorical_accuracy: 0.7122 - 610ms/epoch - 4ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.6624 - categorical_accuracy: 0.7526 - val_loss: 0.5889 - val_categorical_accuracy: 0.7869 - 620ms/epoch - 4ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6393 - categorical_accuracy: 0.7643 - val_loss: 0.6135 - val_categorical_accuracy: 0.7715 - 620ms/epoch - 4ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6796 - categorical_accuracy: 0.7557 - val_loss: 0.5976 - val_categorical_accuracy: 0.7790 - 620ms/epoch - 4ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.5718 - categorical_accuracy: 0.7893 - val_loss: 0.6049 - val_categorical_accuracy: 0.7798 - 610ms/epoch - 4ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5559 - categorical_accuracy: 0.7950 - val_loss: 0.5226 - val_categorical_accuracy: 0.7988 - 610ms/epoch - 4ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5358 - categorical_accuracy: 0.8035 - val_loss: 0.4611 - val_categorical_accuracy: 0.8341 - 610ms/epoch - 4ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5510 - categorical_accuracy: 0.8035 - val_loss: 0.7653 - val_categorical_accuracy: 0.7404 - 610ms/epoch - 4ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.4862 - categorical_accuracy: 0.8213 - val_loss: 0.4570 - val_categorical_accuracy: 0.8353 - 610ms/epoch - 4ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4578 - categorical_accuracy: 0.8306 - val_loss: 0.4377 - val_categorical_accuracy: 0.8357 - 610ms/epoch - 4ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4770 - categorical_accuracy: 0.8267 - val_loss: 0.4230 - val_categorical_accuracy: 0.8462 - 610ms/epoch - 4ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4174 - categorical_accuracy: 0.8454 - val_loss: 0.4205 - val_categorical_accuracy: 0.8442 - 630ms/epoch - 4ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4390 - categorical_accuracy: 0.8404 - val_loss: 0.3970 - val_categorical_accuracy: 0.8597 - 620ms/epoch - 4ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.3940 - categorical_accuracy: 0.8552 - val_loss: 0.4185 - val_categorical_accuracy: 0.8479 - 610ms/epoch - 4ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4427 - categorical_accuracy: 0.8450 - val_loss: 0.4416 - val_categorical_accuracy: 0.8347 - 610ms/epoch - 4ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3699 - categorical_accuracy: 0.8645 - val_loss: 0.3796 - val_categorical_accuracy: 0.8594 - 610ms/epoch - 4ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3697 - categorical_accuracy: 0.8657 - val_loss: 0.3669 - val_categorical_accuracy: 0.8666 - 617ms/epoch - 4ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3494 - categorical_accuracy: 0.8719 - val_loss: 0.3478 - val_categorical_accuracy: 0.8732 - 610ms/epoch - 4ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3385 - categorical_accuracy: 0.8764 - val_loss: 0.3740 - val_categorical_accuracy: 0.8636 - 610ms/epoch - 4ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3499 - categorical_accuracy: 0.8728 - val_loss: 0.6129 - val_categorical_accuracy: 0.8008 - 610ms/epoch - 4ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.3631 - categorical_accuracy: 0.8730 - val_loss: 0.2967 - val_categorical_accuracy: 0.8929 - 610ms/epoch - 4ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3238 - categorical_accuracy: 0.8832 - val_loss: 0.3061 - val_categorical_accuracy: 0.8884 - 610ms/epoch - 4ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.3092 - categorical_accuracy: 0.8868 - val_loss: 0.3094 - val_categorical_accuracy: 0.8926 - 620ms/epoch - 4ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.4149 - categorical_accuracy: 0.8627 - val_loss: 0.3177 - val_categorical_accuracy: 0.8867 - 610ms/epoch - 4ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.2896 - categorical_accuracy: 0.8953 - val_loss: 0.3321 - val_categorical_accuracy: 0.8810 - 610ms/epoch - 4ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.3295 - categorical_accuracy: 0.8858 - val_loss: 0.3042 - val_categorical_accuracy: 0.8879 - 610ms/epoch - 4ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.3112 - categorical_accuracy: 0.8908 - val_loss: 0.3175 - val_categorical_accuracy: 0.8834 - 610ms/epoch - 4ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2801 - categorical_accuracy: 0.8996 - val_loss: 0.2796 - val_categorical_accuracy: 0.8987 - 620ms/epoch - 4ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2611 - categorical_accuracy: 0.9062 - val_loss: 0.2614 - val_categorical_accuracy: 0.9063 - 610ms/epoch - 4ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.4048 - categorical_accuracy: 0.8678 - val_loss: 0.2865 - val_categorical_accuracy: 0.8993 - 610ms/epoch - 4ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2553 - categorical_accuracy: 0.9085 - val_loss: 0.2791 - val_categorical_accuracy: 0.8988 - 610ms/epoch - 4ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2810 - categorical_accuracy: 0.9026 - val_loss: 0.2502 - val_categorical_accuracy: 0.9129 - 610ms/epoch - 4ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2503 - categorical_accuracy: 0.9110 - val_loss: 0.2683 - val_categorical_accuracy: 0.9025 - 610ms/epoch - 4ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2573 - categorical_accuracy: 0.9089 - val_loss: 0.2483 - val_categorical_accuracy: 0.9133 - 610ms/epoch - 4ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2410 - categorical_accuracy: 0.9139 - val_loss: 0.3562 - val_categorical_accuracy: 0.8721 - 610ms/epoch - 4ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2329 - categorical_accuracy: 0.9168 - val_loss: 0.2997 - val_categorical_accuracy: 0.8898 - 610ms/epoch - 4ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2379 - categorical_accuracy: 0.9155 - val_loss: 0.2857 - val_categorical_accuracy: 0.8982 - 610ms/epoch - 4ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2272 - categorical_accuracy: 0.9186 - val_loss: 0.2859 - val_categorical_accuracy: 0.9039 - 610ms/epoch - 4ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2630 - categorical_accuracy: 0.9110 - val_loss: 0.2446 - val_categorical_accuracy: 0.9146 - 610ms/epoch - 4ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2156 - categorical_accuracy: 0.9235 - val_loss: 0.2556 - val_categorical_accuracy: 0.9050 - 610ms/epoch - 4ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2251 - categorical_accuracy: 0.9204 - val_loss: 0.2533 - val_categorical_accuracy: 0.9070 - 610ms/epoch - 4ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.3699 - categorical_accuracy: 0.8847 - val_loss: 0.2527 - val_categorical_accuracy: 0.9113 - 610ms/epoch - 4ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2102 - categorical_accuracy: 0.9260 - val_loss: 0.2610 - val_categorical_accuracy: 0.9092 - 610ms/epoch - 4ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2161 - categorical_accuracy: 0.9243 - val_loss: 0.2547 - val_categorical_accuracy: 0.9109 - 620ms/epoch - 4ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2096 - categorical_accuracy: 0.9252 - val_loss: 0.2360 - val_categorical_accuracy: 0.9144 - 610ms/epoch - 4ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2005 - categorical_accuracy: 0.9293 - val_loss: 0.2309 - val_categorical_accuracy: 0.9176 - 620ms/epoch - 4ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.1967 - categorical_accuracy: 0.9305 - val_loss: 0.3312 - val_categorical_accuracy: 0.8897 - 610ms/epoch - 4ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2191 - categorical_accuracy: 0.9238 - val_loss: 0.2144 - val_categorical_accuracy: 0.9250 - 610ms/epoch - 4ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2057 - categorical_accuracy: 0.9289 - val_loss: 0.2380 - val_categorical_accuracy: 0.9150 - 610ms/epoch - 4ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.1949 - categorical_accuracy: 0.9309 - val_loss: 0.2583 - val_categorical_accuracy: 0.9085 - 610ms/epoch - 4ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1959 - categorical_accuracy: 0.9321 - val_loss: 0.2090 - val_categorical_accuracy: 0.9262 - 610ms/epoch - 4ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.9204 - categorical_accuracy: 0.7187 - val_loss: 1.0254 - val_categorical_accuracy: 0.6295 - 610ms/epoch - 4ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.6814 - categorical_accuracy: 0.7490 - val_loss: 0.5368 - val_categorical_accuracy: 0.8010 - 610ms/epoch - 4ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.4182 - categorical_accuracy: 0.8482 - val_loss: 0.3688 - val_categorical_accuracy: 0.8692 - 610ms/epoch - 4ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.3233 - categorical_accuracy: 0.8836 - val_loss: 0.3600 - val_categorical_accuracy: 0.8700 - 610ms/epoch - 4ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.2861 - categorical_accuracy: 0.8981 - val_loss: 0.3013 - val_categorical_accuracy: 0.8946 - 610ms/epoch - 4ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.2634 - categorical_accuracy: 0.9069 - val_loss: 0.3083 - val_categorical_accuracy: 0.8887 - 610ms/epoch - 4ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.2547 - categorical_accuracy: 0.9119 - val_loss: 0.2994 - val_categorical_accuracy: 0.8964 - 650ms/epoch - 5ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.2299 - categorical_accuracy: 0.9185 - val_loss: 0.2542 - val_categorical_accuracy: 0.9095 - 630ms/epoch - 4ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.3013 - categorical_accuracy: 0.9044 - val_loss: 0.2444 - val_categorical_accuracy: 0.9156 - 630ms/epoch - 4ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.2066 - categorical_accuracy: 0.9275 - val_loss: 0.2294 - val_categorical_accuracy: 0.9216 - 620ms/epoch - 4ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.2071 - categorical_accuracy: 0.9277 - val_loss: 0.2299 - val_categorical_accuracy: 0.9194 - 610ms/epoch - 4ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1937 - categorical_accuracy: 0.9319 - val_loss: 0.2529 - val_categorical_accuracy: 0.9087 - 610ms/epoch - 4ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.2224 - categorical_accuracy: 0.9246 - val_loss: 0.2176 - val_categorical_accuracy: 0.9243 - 620ms/epoch - 4ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1855 - categorical_accuracy: 0.9353 - val_loss: 0.2356 - val_categorical_accuracy: 0.9185 - 610ms/epoch - 4ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.2182 - categorical_accuracy: 0.9262 - val_loss: 0.2107 - val_categorical_accuracy: 0.9281 - 610ms/epoch - 4ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1847 - categorical_accuracy: 0.9359 - val_loss: 0.2238 - val_categorical_accuracy: 0.9202 - 610ms/epoch - 4ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1955 - categorical_accuracy: 0.9333 - val_loss: 0.2103 - val_categorical_accuracy: 0.9265 - 610ms/epoch - 4ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1729 - categorical_accuracy: 0.9399 - val_loss: 0.1991 - val_categorical_accuracy: 0.9326 - 620ms/epoch - 4ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1681 - categorical_accuracy: 0.9410 - val_loss: 0.2416 - val_categorical_accuracy: 0.9181 - 610ms/epoch - 4ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1995 - categorical_accuracy: 0.9342 - val_loss: 0.2248 - val_categorical_accuracy: 0.9226 - 610ms/epoch - 4ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1706 - categorical_accuracy: 0.9404 - val_loss: 0.1971 - val_categorical_accuracy: 0.9318 - 610ms/epoch - 4ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1614 - categorical_accuracy: 0.9439 - val_loss: 0.1946 - val_categorical_accuracy: 0.9331 - 610ms/epoch - 4ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1673 - categorical_accuracy: 0.9422 - val_loss: 0.2048 - val_categorical_accuracy: 0.9297 - 620ms/epoch - 4ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1556 - categorical_accuracy: 0.9462 - val_loss: 0.1852 - val_categorical_accuracy: 0.9368 - 610ms/epoch - 4ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1571 - categorical_accuracy: 0.9453 - val_loss: 0.1978 - val_categorical_accuracy: 0.9327 - 610ms/epoch - 4ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1520 - categorical_accuracy: 0.9475 - val_loss: 0.2283 - val_categorical_accuracy: 0.9213 - 610ms/epoch - 4ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1919 - categorical_accuracy: 0.9356 - val_loss: 0.2169 - val_categorical_accuracy: 0.9242 - 610ms/epoch - 4ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1445 - categorical_accuracy: 0.9505 - val_loss: 0.1951 - val_categorical_accuracy: 0.9336 - 620ms/epoch - 4ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1462 - categorical_accuracy: 0.9497 - val_loss: 0.2002 - val_categorical_accuracy: 0.9308 - 610ms/epoch - 4ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1518 - categorical_accuracy: 0.9478 - val_loss: 0.2000 - val_categorical_accuracy: 0.9310 - 610ms/epoch - 4ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1661 - categorical_accuracy: 0.9440 - val_loss: 0.2074 - val_categorical_accuracy: 0.9302 - 610ms/epoch - 4ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1363 - categorical_accuracy: 0.9533 - val_loss: 0.1946 - val_categorical_accuracy: 0.9352 - 610ms/epoch - 4ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1434 - categorical_accuracy: 0.9504 - val_loss: 0.1776 - val_categorical_accuracy: 0.9373 - 620ms/epoch - 4ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1395 - categorical_accuracy: 0.9519 - val_loss: 0.1969 - val_categorical_accuracy: 0.9330 - 610ms/epoch - 4ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1372 - categorical_accuracy: 0.9526 - val_loss: 0.1877 - val_categorical_accuracy: 0.9359 - 610ms/epoch - 4ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1407 - categorical_accuracy: 0.9514 - val_loss: 0.2183 - val_categorical_accuracy: 0.9284 - 610ms/epoch - 4ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1457 - categorical_accuracy: 0.9506 - val_loss: 0.1989 - val_categorical_accuracy: 0.9312 - 610ms/epoch - 4ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1466 - categorical_accuracy: 0.9499 - val_loss: 0.4506 - val_categorical_accuracy: 0.8657 - 610ms/epoch - 4ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1331 - categorical_accuracy: 0.9544 - val_loss: 0.2257 - val_categorical_accuracy: 0.9240 - 610ms/epoch - 4ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1287 - categorical_accuracy: 0.9555 - val_loss: 1.2031 - val_categorical_accuracy: 0.7694 - 610ms/epoch - 4ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1810 - categorical_accuracy: 0.9442 - val_loss: 0.1891 - val_categorical_accuracy: 0.9376 - 610ms/epoch - 4ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1413 - categorical_accuracy: 0.9522 - val_loss: 0.2048 - val_categorical_accuracy: 0.9308 - 610ms/epoch - 4ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1392 - categorical_accuracy: 0.9539 - val_loss: 0.1759 - val_categorical_accuracy: 0.9408 - 610ms/epoch - 4ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1195 - categorical_accuracy: 0.9590 - val_loss: 0.1883 - val_categorical_accuracy: 0.9379 - 610ms/epoch - 4ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1305 - categorical_accuracy: 0.9557 - val_loss: 0.1709 - val_categorical_accuracy: 0.9419 - 610ms/epoch - 4ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1245 - categorical_accuracy: 0.9569 - val_loss: 0.1849 - val_categorical_accuracy: 0.9378 - 610ms/epoch - 4ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1310 - categorical_accuracy: 0.9550 - val_loss: 0.1712 - val_categorical_accuracy: 0.9423 - 610ms/epoch - 4ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1253 - categorical_accuracy: 0.9575 - val_loss: 0.2017 - val_categorical_accuracy: 0.9338 - 610ms/epoch - 4ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1267 - categorical_accuracy: 0.9574 - val_loss: 0.4610 - val_categorical_accuracy: 0.8712 - 620ms/epoch - 4ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1753 - categorical_accuracy: 0.9460 - val_loss: 0.1743 - val_categorical_accuracy: 0.9432 - 610ms/epoch - 4ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1250 - categorical_accuracy: 0.9586 - val_loss: 0.1788 - val_categorical_accuracy: 0.9411 - 610ms/epoch - 4ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1157 - categorical_accuracy: 0.9602 - val_loss: 0.1666 - val_categorical_accuracy: 0.9451 - 610ms/epoch - 4ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1132 - categorical_accuracy: 0.9610 - val_loss: 0.1749 - val_categorical_accuracy: 0.9434 - 610ms/epoch - 4ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1149 - categorical_accuracy: 0.9602 - val_loss: 0.1646 - val_categorical_accuracy: 0.9466 - 610ms/epoch - 4ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1401 - categorical_accuracy: 0.9542 - val_loss: 0.1659 - val_categorical_accuracy: 0.9451 - 610ms/epoch - 4ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1094 - categorical_accuracy: 0.9623 - val_loss: 0.1876 - val_categorical_accuracy: 0.9390 - 610ms/epoch - 4ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1266 - categorical_accuracy: 0.9572 - val_loss: 0.1859 - val_categorical_accuracy: 0.9397 - 610ms/epoch - 4ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1077 - categorical_accuracy: 0.9629 - val_loss: 0.1860 - val_categorical_accuracy: 0.9402 - 610ms/epoch - 4ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1110 - categorical_accuracy: 0.9617 - val_loss: 0.1760 - val_categorical_accuracy: 0.9441 - 610ms/epoch - 4ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.2229 - categorical_accuracy: 0.9354 - val_loss: 0.1945 - val_categorical_accuracy: 0.9342 - 610ms/epoch - 4ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1073 - categorical_accuracy: 0.9643 - val_loss: 0.1719 - val_categorical_accuracy: 0.9453 - 620ms/epoch - 4ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1068 - categorical_accuracy: 0.9636 - val_loss: 0.1695 - val_categorical_accuracy: 0.9471 - 610ms/epoch - 4ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1073 - categorical_accuracy: 0.9634 - val_loss: 0.1840 - val_categorical_accuracy: 0.9393 - 610ms/epoch - 4ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1204 - categorical_accuracy: 0.9600 - val_loss: 0.1700 - val_categorical_accuracy: 0.9437 - 620ms/epoch - 4ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1025 - categorical_accuracy: 0.9649 - val_loss: 0.2372 - val_categorical_accuracy: 0.9262 - 610ms/epoch - 4ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1074 - categorical_accuracy: 0.9633 - val_loss: 0.2058 - val_categorical_accuracy: 0.9365 - 610ms/epoch - 4ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1729 - categorical_accuracy: 0.9488 - val_loss: 0.1620 - val_categorical_accuracy: 0.9472 - 610ms/epoch - 4ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9669 - val_loss: 0.2038 - val_categorical_accuracy: 0.9293 - 610ms/epoch - 4ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1018 - categorical_accuracy: 0.9651 - val_loss: 0.1784 - val_categorical_accuracy: 0.9435 - 610ms/epoch - 4ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.2204 - categorical_accuracy: 0.9367 - val_loss: 0.1683 - val_categorical_accuracy: 0.9428 - 610ms/epoch - 4ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9659 - val_loss: 0.1722 - val_categorical_accuracy: 0.9438 - 610ms/epoch - 4ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9660 - val_loss: 0.1731 - val_categorical_accuracy: 0.9444 - 610ms/epoch - 4ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1102 - categorical_accuracy: 0.9620 - val_loss: 0.1638 - val_categorical_accuracy: 0.9486 - 610ms/epoch - 4ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1026 - categorical_accuracy: 0.9648 - val_loss: 0.1680 - val_categorical_accuracy: 0.9456 - 610ms/epoch - 4ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1129 - categorical_accuracy: 0.9630 - val_loss: 0.1541 - val_categorical_accuracy: 0.9508 - 610ms/epoch - 4ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0983 - categorical_accuracy: 0.9666 - val_loss: 0.1629 - val_categorical_accuracy: 0.9488 - 610ms/epoch - 4ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1290 - categorical_accuracy: 0.9585 - val_loss: 0.1676 - val_categorical_accuracy: 0.9447 - 610ms/epoch - 4ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.0951 - categorical_accuracy: 0.9676 - val_loss: 0.1865 - val_categorical_accuracy: 0.9379 - 610ms/epoch - 4ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.0978 - categorical_accuracy: 0.9665 - val_loss: 0.1821 - val_categorical_accuracy: 0.9407 - 610ms/epoch - 4ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1100 - categorical_accuracy: 0.9628 - val_loss: 0.1555 - val_categorical_accuracy: 0.9499 - 610ms/epoch - 4ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0887 - categorical_accuracy: 0.9701 - val_loss: 0.1814 - val_categorical_accuracy: 0.9444 - 610ms/epoch - 4ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0954 - categorical_accuracy: 0.9674 - val_loss: 0.1520 - val_categorical_accuracy: 0.9528 - 610ms/epoch - 4ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.1081 - categorical_accuracy: 0.9641 - val_loss: 0.1956 - val_categorical_accuracy: 0.9387 - 610ms/epoch - 4ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0917 - categorical_accuracy: 0.9684 - val_loss: 0.2774 - val_categorical_accuracy: 0.9178 - 620ms/epoch - 4ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0906 - categorical_accuracy: 0.9689 - val_loss: 0.1606 - val_categorical_accuracy: 0.9487 - 610ms/epoch - 4ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0945 - categorical_accuracy: 0.9677 - val_loss: 0.7486 - val_categorical_accuracy: 0.8259 - 600ms/epoch - 4ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1365 - categorical_accuracy: 0.9585 - val_loss: 0.1711 - val_categorical_accuracy: 0.9447 - 610ms/epoch - 4ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9706 - val_loss: 0.1814 - val_categorical_accuracy: 0.9459 - 610ms/epoch - 4ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1500 - categorical_accuracy: 0.9553 - val_loss: 0.1499 - val_categorical_accuracy: 0.9526 - 610ms/epoch - 4ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9710 - val_loss: 0.1590 - val_categorical_accuracy: 0.9495 - 620ms/epoch - 4ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0930 - categorical_accuracy: 0.9684 - val_loss: 0.1710 - val_categorical_accuracy: 0.9454 - 620ms/epoch - 4ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1206 - categorical_accuracy: 0.9615 - val_loss: 0.1617 - val_categorical_accuracy: 0.9491 - 610ms/epoch - 4ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0856 - categorical_accuracy: 0.9712 - val_loss: 0.1627 - val_categorical_accuracy: 0.9495 - 610ms/epoch - 4ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9690 - val_loss: 0.1711 - val_categorical_accuracy: 0.9473 - 610ms/epoch - 4ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0989 - categorical_accuracy: 0.9668 - val_loss: 0.1561 - val_categorical_accuracy: 0.9510 - 610ms/epoch - 4ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9703 - val_loss: 0.1719 - val_categorical_accuracy: 0.9477 - 610ms/epoch - 4ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0885 - categorical_accuracy: 0.9698 - val_loss: 0.1703 - val_categorical_accuracy: 0.9467 - 610ms/epoch - 4ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0883 - categorical_accuracy: 0.9695 - val_loss: 0.1859 - val_categorical_accuracy: 0.9408 - 610ms/epoch - 4ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.1122 - categorical_accuracy: 0.9647 - val_loss: 0.1512 - val_categorical_accuracy: 0.9519 - 610ms/epoch - 4ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0900 - categorical_accuracy: 0.9699 - val_loss: 0.1654 - val_categorical_accuracy: 0.9456 - 620ms/epoch - 4ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0844 - categorical_accuracy: 0.9714 - val_loss: 0.2816 - val_categorical_accuracy: 0.9119 - 610ms/epoch - 4ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.1501 - categorical_accuracy: 0.9561 - val_loss: 0.1552 - val_categorical_accuracy: 0.9504 - 610ms/epoch - 4ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9731 - val_loss: 0.1713 - val_categorical_accuracy: 0.9456 - 610ms/epoch - 4ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.1057 - categorical_accuracy: 0.9659 - val_loss: 0.1571 - val_categorical_accuracy: 0.9505 - 610ms/epoch - 4ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1051 - categorical_accuracy: 0.9661 - val_loss: 0.1942 - val_categorical_accuracy: 0.9363 - 630ms/epoch - 4ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9726 - val_loss: 0.1468 - val_categorical_accuracy: 0.9545 - 620ms/epoch - 4ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.1098 - categorical_accuracy: 0.9654 - val_loss: 0.1557 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9733 - val_loss: 0.1489 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0909 - categorical_accuracy: 0.9698 - val_loss: 0.7041 - val_categorical_accuracy: 0.8287 - 610ms/epoch - 4ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0927 - categorical_accuracy: 0.9696 - val_loss: 0.1995 - val_categorical_accuracy: 0.9385 - 620ms/epoch - 4ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9706 - val_loss: 0.1585 - val_categorical_accuracy: 0.9501 - 610ms/epoch - 4ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9734 - val_loss: 0.1676 - val_categorical_accuracy: 0.9493 - 610ms/epoch - 4ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0828 - categorical_accuracy: 0.9721 - val_loss: 0.1650 - val_categorical_accuracy: 0.9479 - 620ms/epoch - 4ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9700 - val_loss: 0.1547 - val_categorical_accuracy: 0.9532 - 620ms/epoch - 4ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.1235 - categorical_accuracy: 0.9634 - val_loss: 0.1563 - val_categorical_accuracy: 0.9515 - 610ms/epoch - 4ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9746 - val_loss: 0.1560 - val_categorical_accuracy: 0.9536 - 610ms/epoch - 4ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9738 - val_loss: 0.1651 - val_categorical_accuracy: 0.9495 - 610ms/epoch - 4ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0856 - categorical_accuracy: 0.9709 - val_loss: 0.1635 - val_categorical_accuracy: 0.9523 - 610ms/epoch - 4ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0780 - categorical_accuracy: 0.9736 - val_loss: 0.1916 - val_categorical_accuracy: 0.9369 - 610ms/epoch - 4ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9744 - val_loss: 0.1612 - val_categorical_accuracy: 0.9512 - 610ms/epoch - 4ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9742 - val_loss: 0.1696 - val_categorical_accuracy: 0.9496 - 610ms/epoch - 4ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9731 - val_loss: 0.1743 - val_categorical_accuracy: 0.9485 - 610ms/epoch - 4ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9707 - val_loss: 0.1728 - val_categorical_accuracy: 0.9499 - 610ms/epoch - 4ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.2274 - categorical_accuracy: 0.9370 - val_loss: 0.2756 - val_categorical_accuracy: 0.9027 - 610ms/epoch - 4ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.1045 - categorical_accuracy: 0.9644 - val_loss: 0.1574 - val_categorical_accuracy: 0.9503 - 610ms/epoch - 4ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0762 - categorical_accuracy: 0.9741 - val_loss: 0.1561 - val_categorical_accuracy: 0.9523 - 610ms/epoch - 4ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9737 - val_loss: 0.1580 - val_categorical_accuracy: 0.9532 - 610ms/epoch - 4ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9753 - val_loss: 0.1695 - val_categorical_accuracy: 0.9497 - 610ms/epoch - 4ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0961 - categorical_accuracy: 0.9689 - val_loss: 0.2073 - val_categorical_accuracy: 0.9389 - 620ms/epoch - 4ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0775 - categorical_accuracy: 0.9735 - val_loss: 0.1501 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0755 - categorical_accuracy: 0.9740 - val_loss: 0.1926 - val_categorical_accuracy: 0.9394 - 610ms/epoch - 4ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0790 - categorical_accuracy: 0.9730 - val_loss: 0.1582 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9735 - val_loss: 0.6828 - val_categorical_accuracy: 0.8481 - 620ms/epoch - 4ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.1078 - categorical_accuracy: 0.9670 - val_loss: 0.1507 - val_categorical_accuracy: 0.9550 - 610ms/epoch - 4ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0707 - categorical_accuracy: 0.9757 - val_loss: 0.1690 - val_categorical_accuracy: 0.9484 - 610ms/epoch - 4ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9750 - val_loss: 0.1597 - val_categorical_accuracy: 0.9522 - 780ms/epoch - 6ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0768 - categorical_accuracy: 0.9739 - val_loss: 0.1546 - val_categorical_accuracy: 0.9550 - 610ms/epoch - 4ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9763 - val_loss: 0.2028 - val_categorical_accuracy: 0.9405 - 610ms/epoch - 4ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.1306 - categorical_accuracy: 0.9613 - val_loss: 0.1782 - val_categorical_accuracy: 0.9426 - 610ms/epoch - 4ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9742 - val_loss: 0.1596 - val_categorical_accuracy: 0.9502 - 610ms/epoch - 4ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0886 - categorical_accuracy: 0.9712 - val_loss: 0.1709 - val_categorical_accuracy: 0.9464 - 610ms/epoch - 4ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0837 - categorical_accuracy: 0.9723 - val_loss: 0.1510 - val_categorical_accuracy: 0.9531 - 610ms/epoch - 4ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9769 - val_loss: 0.1561 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9767 - val_loss: 0.1538 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9763 - val_loss: 0.1983 - val_categorical_accuracy: 0.9431 - 610ms/epoch - 4ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0722 - categorical_accuracy: 0.9752 - val_loss: 0.1801 - val_categorical_accuracy: 0.9461 - 620ms/epoch - 4ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0795 - categorical_accuracy: 0.9729 - val_loss: 0.1556 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0683 - categorical_accuracy: 0.9767 - val_loss: 0.1511 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9754 - val_loss: 0.1934 - val_categorical_accuracy: 0.9461 - 610ms/epoch - 4ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0939 - categorical_accuracy: 0.9704 - val_loss: 0.1658 - val_categorical_accuracy: 0.9511 - 610ms/epoch - 4ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0669 - categorical_accuracy: 0.9770 - val_loss: 0.1691 - val_categorical_accuracy: 0.9556 - 610ms/epoch - 4ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9767 - val_loss: 0.1848 - val_categorical_accuracy: 0.9466 - 610ms/epoch - 4ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9694 - val_loss: 0.3981 - val_categorical_accuracy: 0.8749 - 610ms/epoch - 4ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0802 - categorical_accuracy: 0.9726 - val_loss: 0.1495 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0721 - categorical_accuracy: 0.9753 - val_loss: 0.1514 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9771 - val_loss: 0.1667 - val_categorical_accuracy: 0.9508 - 610ms/epoch - 4ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9764 - val_loss: 0.1715 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9773 - val_loss: 0.1661 - val_categorical_accuracy: 0.9527 - 610ms/epoch - 4ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.1754 - categorical_accuracy: 0.9502 - val_loss: 0.1636 - val_categorical_accuracy: 0.9500 - 610ms/epoch - 4ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0692 - categorical_accuracy: 0.9766 - val_loss: 0.1680 - val_categorical_accuracy: 0.9501 - 610ms/epoch - 4ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9779 - val_loss: 0.1710 - val_categorical_accuracy: 0.9504 - 620ms/epoch - 4ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9777 - val_loss: 0.1725 - val_categorical_accuracy: 0.9522 - 616ms/epoch - 4ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.1178 - categorical_accuracy: 0.9657 - val_loss: 0.1522 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9786 - val_loss: 0.1498 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9776 - val_loss: 0.1513 - val_categorical_accuracy: 0.9566 - 610ms/epoch - 4ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0654 - categorical_accuracy: 0.9773 - val_loss: 0.1731 - val_categorical_accuracy: 0.9495 - 610ms/epoch - 4ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9774 - val_loss: 0.1683 - val_categorical_accuracy: 0.9514 - 610ms/epoch - 4ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9774 - val_loss: 0.1529 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9775 - val_loss: 0.1843 - val_categorical_accuracy: 0.9497 - 610ms/epoch - 4ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9775 - val_loss: 0.1648 - val_categorical_accuracy: 0.9552 - 610ms/epoch - 4ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0990 - categorical_accuracy: 0.9699 - val_loss: 0.1587 - val_categorical_accuracy: 0.9532 - 610ms/epoch - 4ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9786 - val_loss: 0.1657 - val_categorical_accuracy: 0.9527 - 610ms/epoch - 4ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9788 - val_loss: 0.1666 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9785 - val_loss: 0.1688 - val_categorical_accuracy: 0.9513 - 620ms/epoch - 4ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9779 - val_loss: 0.1680 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9774 - val_loss: 0.2921 - val_categorical_accuracy: 0.9260 - 610ms/epoch - 4ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0896 - categorical_accuracy: 0.9708 - val_loss: 0.1608 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9745 - val_loss: 0.2363 - val_categorical_accuracy: 0.9316 - 610ms/epoch - 4ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0645 - categorical_accuracy: 0.9779 - val_loss: 0.1563 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.1184 - categorical_accuracy: 0.9657 - val_loss: 0.1511 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9788 - val_loss: 0.1525 - val_categorical_accuracy: 0.9567 - 610ms/epoch - 4ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9787 - val_loss: 0.1617 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9793 - val_loss: 0.1643 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9781 - val_loss: 0.1798 - val_categorical_accuracy: 0.9496 - 610ms/epoch - 4ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9780 - val_loss: 0.1663 - val_categorical_accuracy: 0.9521 - 610ms/epoch - 4ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9780 - val_loss: 0.1575 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9780 - val_loss: 0.1734 - val_categorical_accuracy: 0.9530 - 610ms/epoch - 4ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9790 - val_loss: 0.1815 - val_categorical_accuracy: 0.9471 - 610ms/epoch - 4ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.1120 - categorical_accuracy: 0.9672 - val_loss: 0.1500 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9795 - val_loss: 0.1540 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9795 - val_loss: 0.1646 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0601 - categorical_accuracy: 0.9791 - val_loss: 0.1716 - val_categorical_accuracy: 0.9546 - 610ms/epoch - 4ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9780 - val_loss: 0.1602 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9793 - val_loss: 0.2011 - val_categorical_accuracy: 0.9464 - 610ms/epoch - 4ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9699 - val_loss: 0.1626 - val_categorical_accuracy: 0.9540 - 610ms/epoch - 4ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9786 - val_loss: 0.1695 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9793 - val_loss: 0.1614 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9789 - val_loss: 0.1575 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9794 - val_loss: 0.1582 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9784 - val_loss: 0.1552 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9796 - val_loss: 0.1657 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9795 - val_loss: 0.1642 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.1839 - categorical_accuracy: 0.9493 - val_loss: 0.1594 - val_categorical_accuracy: 0.9513 - 610ms/epoch - 4ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9789 - val_loss: 0.1615 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9802 - val_loss: 0.2054 - val_categorical_accuracy: 0.9448 - 630ms/epoch - 4ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9740 - val_loss: 0.3090 - val_categorical_accuracy: 0.9074 - 620ms/epoch - 4ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9776 - val_loss: 0.1520 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9799 - val_loss: 0.1573 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0709 - categorical_accuracy: 0.9762 - val_loss: 0.1545 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9800 - val_loss: 0.1876 - val_categorical_accuracy: 0.9492 - 610ms/epoch - 4ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9796 - val_loss: 0.1594 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9803 - val_loss: 0.1722 - val_categorical_accuracy: 0.9529 - 610ms/epoch - 4ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0984 - categorical_accuracy: 0.9703 - val_loss: 0.1506 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9807 - val_loss: 0.1768 - val_categorical_accuracy: 0.9515 - 610ms/epoch - 4ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9794 - val_loss: 0.1736 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.1102 - categorical_accuracy: 0.9686 - val_loss: 0.1523 - val_categorical_accuracy: 0.9560 - 610ms/epoch - 4ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9801 - val_loss: 0.1610 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9805 - val_loss: 0.1556 - val_categorical_accuracy: 0.9573 - 600ms/epoch - 4ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9808 - val_loss: 0.1724 - val_categorical_accuracy: 0.9544 - 620ms/epoch - 4ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9798 - val_loss: 0.1688 - val_categorical_accuracy: 0.9533 - 610ms/epoch - 4ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9810 - val_loss: 0.1745 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9782 - val_loss: 0.1649 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9803 - val_loss: 0.1706 - val_categorical_accuracy: 0.9533 - 610ms/epoch - 4ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0880 - categorical_accuracy: 0.9726 - val_loss: 0.1692 - val_categorical_accuracy: 0.9523 - 610ms/epoch - 4ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9806 - val_loss: 0.1641 - val_categorical_accuracy: 0.9567 - 610ms/epoch - 4ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9809 - val_loss: 0.1593 - val_categorical_accuracy: 0.9572 - 600ms/epoch - 4ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.1030 - categorical_accuracy: 0.9698 - val_loss: 0.1537 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9812 - val_loss: 0.1989 - val_categorical_accuracy: 0.9459 - 610ms/epoch - 4ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9811 - val_loss: 0.1568 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9813 - val_loss: 0.1749 - val_categorical_accuracy: 0.9526 - 610ms/epoch - 4ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9805 - val_loss: 0.1587 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.1248 - categorical_accuracy: 0.9653 - val_loss: 0.1577 - val_categorical_accuracy: 0.9518 - 610ms/epoch - 4ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9800 - val_loss: 0.1479 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9812 - val_loss: 0.1681 - val_categorical_accuracy: 0.9530 - 600ms/epoch - 4ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9798 - val_loss: 0.1621 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9806 - val_loss: 0.1561 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9803 - val_loss: 0.2085 - val_categorical_accuracy: 0.9464 - 620ms/epoch - 4ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9799 - val_loss: 0.1656 - val_categorical_accuracy: 0.9557 - 610ms/epoch - 4ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9816 - val_loss: 0.1675 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9804 - val_loss: 0.1736 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9808 - val_loss: 0.1827 - val_categorical_accuracy: 0.9496 - 610ms/epoch - 4ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9805 - val_loss: 0.1737 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.1493 - categorical_accuracy: 0.9582 - val_loss: 0.1762 - val_categorical_accuracy: 0.9485 - 610ms/epoch - 4ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9790 - val_loss: 0.1650 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9806 - val_loss: 0.1586 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9817 - val_loss: 0.1880 - val_categorical_accuracy: 0.9523 - 630ms/epoch - 4ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9765 - val_loss: 0.2961 - val_categorical_accuracy: 0.9139 - 610ms/epoch - 4ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9797 - val_loss: 0.1633 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9805 - val_loss: 0.1565 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9810 - val_loss: 0.1686 - val_categorical_accuracy: 0.9548 - 610ms/epoch - 4ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9817 - val_loss: 0.1707 - val_categorical_accuracy: 0.9576 - 610ms/epoch - 4ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9802 - val_loss: 0.1753 - val_categorical_accuracy: 0.9569 - 610ms/epoch - 4ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.1309 - categorical_accuracy: 0.9638 - val_loss: 0.1829 - val_categorical_accuracy: 0.9429 - 620ms/epoch - 4ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9780 - val_loss: 0.1524 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9819 - val_loss: 0.1694 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9816 - val_loss: 0.1758 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9805 - val_loss: 0.1696 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9808 - val_loss: 0.1676 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9811 - val_loss: 0.1725 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9811 - val_loss: 0.1678 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9802 - val_loss: 0.1683 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9813 - val_loss: 0.1722 - val_categorical_accuracy: 0.9566 - 610ms/epoch - 4ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9815 - val_loss: 0.2215 - val_categorical_accuracy: 0.9445 - 610ms/epoch - 4ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9810 - val_loss: 0.1725 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0717 - categorical_accuracy: 0.9764 - val_loss: 0.1605 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9796 - val_loss: 0.1695 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9813 - val_loss: 0.1710 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9817 - val_loss: 0.1977 - val_categorical_accuracy: 0.9486 - 610ms/epoch - 4ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0881 - categorical_accuracy: 0.9736 - val_loss: 0.1555 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9818 - val_loss: 0.1562 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9820 - val_loss: 0.1677 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9820 - val_loss: 0.1799 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9803 - val_loss: 0.1676 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9824 - val_loss: 0.1674 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0713 - categorical_accuracy: 0.9770 - val_loss: 1.1512 - val_categorical_accuracy: 0.7882 - 610ms/epoch - 4ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0734 - categorical_accuracy: 0.9761 - val_loss: 0.1808 - val_categorical_accuracy: 0.9506 - 610ms/epoch - 4ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9813 - val_loss: 0.1793 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9819 - val_loss: 0.1679 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9823 - val_loss: 0.1670 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9818 - val_loss: 0.1898 - val_categorical_accuracy: 0.9544 - 610ms/epoch - 4ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9822 - val_loss: 0.1665 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9814 - val_loss: 0.1714 - val_categorical_accuracy: 0.9557 - 610ms/epoch - 4ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9812 - val_loss: 0.1600 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9808 - val_loss: 0.1608 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.1126 - categorical_accuracy: 0.9683 - val_loss: 0.1663 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9807 - val_loss: 0.1598 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9822 - val_loss: 0.1602 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.1699 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9826 - val_loss: 0.1727 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1764 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9817 - val_loss: 0.1978 - val_categorical_accuracy: 0.9458 - 610ms/epoch - 4ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.1199 - categorical_accuracy: 0.9665 - val_loss: 0.1580 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9820 - val_loss: 0.1619 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9829 - val_loss: 0.1574 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9827 - val_loss: 0.1697 - val_categorical_accuracy: 0.9586 - 600ms/epoch - 4ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.1675 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9822 - val_loss: 0.1838 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9825 - val_loss: 0.1804 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9812 - val_loss: 0.1678 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1730 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9823 - val_loss: 0.1675 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9829 - val_loss: 0.1737 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9822 - val_loss: 0.1741 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9822 - val_loss: 0.1777 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9824 - val_loss: 0.1742 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9826 - val_loss: 0.1822 - val_categorical_accuracy: 0.9576 - 610ms/epoch - 4ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9826 - val_loss: 0.1697 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.1019 - categorical_accuracy: 0.9708 - val_loss: 0.2158 - val_categorical_accuracy: 0.9337 - 610ms/epoch - 4ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9797 - val_loss: 0.1597 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9837 - val_loss: 0.1709 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9822 - val_loss: 0.1653 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9759 - val_loss: 0.3015 - val_categorical_accuracy: 0.9057 - 610ms/epoch - 4ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9790 - val_loss: 0.1571 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9833 - val_loss: 0.1882 - val_categorical_accuracy: 0.9531 - 610ms/epoch - 4ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9827 - val_loss: 0.1885 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9828 - val_loss: 0.1727 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9825 - val_loss: 0.1656 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9765 - val_loss: 0.1774 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9828 - val_loss: 0.1793 - val_categorical_accuracy: 0.9562 - 610ms/epoch - 4ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9832 - val_loss: 0.1747 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9826 - val_loss: 0.1673 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9826 - val_loss: 0.1692 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9832 - val_loss: 0.1778 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.1051 - categorical_accuracy: 0.9701 - val_loss: 0.1568 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9831 - val_loss: 0.1687 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9831 - val_loss: 0.1867 - val_categorical_accuracy: 0.9522 - 610ms/epoch - 4ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9822 - val_loss: 0.1694 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9735 - val_loss: 0.1557 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9835 - val_loss: 0.1731 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.1692 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9826 - val_loss: 0.1700 - val_categorical_accuracy: 0.9565 - 610ms/epoch - 4ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9832 - val_loss: 0.1675 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9825 - val_loss: 0.1694 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9832 - val_loss: 0.1653 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9828 - val_loss: 0.1919 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9833 - val_loss: 0.1871 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1686 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9820 - val_loss: 0.1667 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9828 - val_loss: 0.1730 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9834 - val_loss: 0.1696 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9822 - val_loss: 0.1636 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9831 - val_loss: 0.1704 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.1157 - categorical_accuracy: 0.9675 - val_loss: 0.1638 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9829 - val_loss: 0.1687 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9830 - val_loss: 0.2044 - val_categorical_accuracy: 0.9530 - 610ms/epoch - 4ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9827 - val_loss: 0.1736 - val_categorical_accuracy: 0.9566 - 610ms/epoch - 4ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9829 - val_loss: 0.1710 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9832 - val_loss: 0.1795 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9823 - val_loss: 0.1866 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9839 - val_loss: 0.1855 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9839 - val_loss: 0.1784 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9834 - val_loss: 0.1794 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9831 - val_loss: 0.1847 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9826 - val_loss: 0.1912 - val_categorical_accuracy: 0.9530 - 610ms/epoch - 4ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9818 - val_loss: 0.1992 - val_categorical_accuracy: 0.9504 - 620ms/epoch - 4ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9754 - val_loss: 0.1665 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9841 - val_loss: 0.1721 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1652 - val_categorical_accuracy: 0.9615 - 613ms/epoch - 4ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9836 - val_loss: 0.1739 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1758 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9831 - val_loss: 0.1836 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9836 - val_loss: 0.1730 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9814 - val_loss: 0.1947 - val_categorical_accuracy: 0.9525 - 610ms/epoch - 4ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0877 - categorical_accuracy: 0.9739 - val_loss: 0.1687 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9843 - val_loss: 0.1804 - val_categorical_accuracy: 0.9550 - 610ms/epoch - 4ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9840 - val_loss: 0.1791 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1780 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9840 - val_loss: 0.1995 - val_categorical_accuracy: 0.9534 - 610ms/epoch - 4ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.1717 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.1154 - categorical_accuracy: 0.9685 - val_loss: 0.1663 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9839 - val_loss: 0.1668 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9842 - val_loss: 0.1778 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.1819 - val_categorical_accuracy: 0.9565 - 610ms/epoch - 4ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.1084 - categorical_accuracy: 0.9686 - val_loss: 0.1838 - val_categorical_accuracy: 0.9513 - 610ms/epoch - 4ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9821 - val_loss: 0.1573 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9839 - val_loss: 0.1661 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.1711 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.1735 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.1998 - val_categorical_accuracy: 0.9528 - 610ms/epoch - 4ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9837 - val_loss: 0.1861 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9837 - val_loss: 0.1681 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9832 - val_loss: 0.1759 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9833 - val_loss: 0.1720 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9842 - val_loss: 0.1748 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9840 - val_loss: 0.1802 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1725 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.1852 - val_categorical_accuracy: 0.9565 - 610ms/epoch - 4ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1775 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.1758 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9833 - val_loss: 0.1852 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9836 - val_loss: 0.2094 - val_categorical_accuracy: 0.9528 - 610ms/epoch - 4ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.1823 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1844 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1812 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9843 - val_loss: 0.2136 - val_categorical_accuracy: 0.9507 - 610ms/epoch - 4ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.1775 - categorical_accuracy: 0.9516 - val_loss: 0.1866 - val_categorical_accuracy: 0.9473 - 610ms/epoch - 4ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9812 - val_loss: 0.1716 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9839 - val_loss: 0.1750 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9844 - val_loss: 0.1694 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9840 - val_loss: 0.1766 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9841 - val_loss: 0.1947 - val_categorical_accuracy: 0.9544 - 620ms/epoch - 4ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1711 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.1849 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.1794 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.1711 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9791 - val_loss: 0.2509 - val_categorical_accuracy: 0.9349 - 610ms/epoch - 4ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9822 - val_loss: 0.1755 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1751 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.1782 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9814 - val_loss: 0.1822 - val_categorical_accuracy: 0.9576 - 610ms/epoch - 4ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9827 - val_loss: 0.1779 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9845 - val_loss: 0.1909 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.1715 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1853 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0958 - categorical_accuracy: 0.9737 - val_loss: 0.1902 - val_categorical_accuracy: 0.9471 - 620ms/epoch - 4ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9821 - val_loss: 0.1677 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9847 - val_loss: 0.1822 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.1686 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.1777 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1683 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9842 - val_loss: 0.1781 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9841 - val_loss: 0.1870 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9842 - val_loss: 0.1805 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0842 - categorical_accuracy: 0.9753 - val_loss: 0.1771 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9850 - val_loss: 0.1759 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9851 - val_loss: 0.1739 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.1805 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.1927 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9761 - val_loss: 0.1916 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9850 - val_loss: 0.1741 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.1797 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9852 - val_loss: 0.2293 - val_categorical_accuracy: 0.9475 - 610ms/epoch - 4ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.1988 - val_categorical_accuracy: 0.9522 - 610ms/epoch - 4ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9848 - val_loss: 0.1783 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.1723 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.1869 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9846 - val_loss: 0.1797 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1728 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.1821 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9836 - val_loss: 0.3247 - val_categorical_accuracy: 0.9201 - 610ms/epoch - 4ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9715 - val_loss: 0.1670 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1726 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9849 - val_loss: 0.1895 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1728 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1989 - val_categorical_accuracy: 0.9531 - 610ms/epoch - 4ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1833 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9848 - val_loss: 0.1912 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1880 - val_categorical_accuracy: 0.9569 - 610ms/epoch - 4ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.1875 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1902 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1925 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.1219 - categorical_accuracy: 0.9675 - val_loss: 0.1641 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9827 - val_loss: 0.1756 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9849 - val_loss: 0.1792 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.1797 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9857 - val_loss: 0.2053 - val_categorical_accuracy: 0.9501 - 613ms/epoch - 4ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9788 - val_loss: 0.1808 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9852 - val_loss: 0.1822 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1846 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.1832 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9846 - val_loss: 0.1902 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1879 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.1836 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9844 - val_loss: 0.2263 - val_categorical_accuracy: 0.9520 - 620ms/epoch - 4ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1825 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1860 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1832 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1901 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.2247 - val_categorical_accuracy: 0.9540 - 610ms/epoch - 4ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.2159 - val_categorical_accuracy: 0.9528 - 610ms/epoch - 4ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9844 - val_loss: 0.1949 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1928 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.1848 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.1889 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9853 - val_loss: 0.1936 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.2317 - val_categorical_accuracy: 0.9486 - 610ms/epoch - 4ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1894 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9843 - val_loss: 0.1905 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9854 - val_loss: 0.1855 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0995 - categorical_accuracy: 0.9715 - val_loss: 0.1716 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.1753 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9858 - val_loss: 0.2083 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1828 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0688 - categorical_accuracy: 0.9792 - val_loss: 0.2021 - val_categorical_accuracy: 0.9432 - 610ms/epoch - 4ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9833 - val_loss: 0.1815 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 0.1763 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.1971 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.1837 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2879 - val_categorical_accuracy: 0.9372 - 610ms/epoch - 4ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.1012 - categorical_accuracy: 0.9714 - val_loss: 0.1954 - val_categorical_accuracy: 0.9550 - 610ms/epoch - 4ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.1867 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9854 - val_loss: 0.1807 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.1794 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1893 - val_categorical_accuracy: 0.9576 - 610ms/epoch - 4ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1795 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1809 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9849 - val_loss: 0.1912 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.2102 - val_categorical_accuracy: 0.9504 - 630ms/epoch - 4ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.2078 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1840 - val_categorical_accuracy: 0.9628 - 620ms/epoch - 4ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9862 - val_loss: 0.1870 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.1864 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9859 - val_loss: 0.1964 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9859 - val_loss: 0.1849 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.2133 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9847 - val_loss: 0.1890 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9855 - val_loss: 0.1865 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9828 - val_loss: 0.5971 - val_categorical_accuracy: 0.8768 - 620ms/epoch - 4ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0801 - categorical_accuracy: 0.9761 - val_loss: 0.1762 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9858 - val_loss: 0.1790 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.2075 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1931 - val_categorical_accuracy: 0.9562 - 610ms/epoch - 4ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9858 - val_loss: 0.1829 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2170 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0837 - categorical_accuracy: 0.9756 - val_loss: 0.1852 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1793 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9861 - val_loss: 0.1947 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.1832 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.1866 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1963 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.1962 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1910 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1915 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9830 - val_loss: 0.2238 - val_categorical_accuracy: 0.9488 - 620ms/epoch - 4ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9843 - val_loss: 0.1918 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.1981 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2035 - val_categorical_accuracy: 0.9556 - 610ms/epoch - 4ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.1975 - val_categorical_accuracy: 0.9556 - 610ms/epoch - 4ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1986 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.1969 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9846 - val_loss: 0.1783 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9796 - val_loss: 0.6663 - val_categorical_accuracy: 0.8529 - 620ms/epoch - 4ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9802 - val_loss: 0.1859 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9858 - val_loss: 0.1844 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1797 - val_categorical_accuracy: 0.9624 - 620ms/epoch - 4ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1915 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9844 - val_loss: 0.1741 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.1886 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9860 - val_loss: 0.1918 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.1526 - categorical_accuracy: 0.9593 - val_loss: 0.3316 - val_categorical_accuracy: 0.8901 - 610ms/epoch - 4ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9717 - val_loss: 0.1743 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9849 - val_loss: 0.1902 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9856 - val_loss: 0.1749 - val_categorical_accuracy: 0.9627 - 620ms/epoch - 4ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.1945 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9863 - val_loss: 0.1868 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.2135 - val_categorical_accuracy: 0.9512 - 610ms/epoch - 4ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9776 - val_loss: 0.1805 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1842 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1940 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9861 - val_loss: 0.1844 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.1864 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9860 - val_loss: 0.1888 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.1917 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2056 - val_categorical_accuracy: 0.9572 - 614ms/epoch - 4ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0950 - categorical_accuracy: 0.9731 - val_loss: 0.1711 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9862 - val_loss: 0.1790 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9862 - val_loss: 0.1952 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9862 - val_loss: 0.1909 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9858 - val_loss: 0.1895 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1862 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.2025 - val_categorical_accuracy: 0.9535 - 610ms/epoch - 4ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2012 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.1878 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1912 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.1911 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.1913 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9764 - val_loss: 0.1704 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9865 - val_loss: 0.1876 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9865 - val_loss: 0.1801 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9867 - val_loss: 0.1957 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1878 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.1917 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.1965 - val_categorical_accuracy: 0.9609 - 790ms/epoch - 6ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0915 - categorical_accuracy: 0.9743 - val_loss: 0.1748 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1786 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9859 - val_loss: 0.1811 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1902 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.1870 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1908 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9866 - val_loss: 0.1914 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2237 - val_categorical_accuracy: 0.9500 - 610ms/epoch - 4ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9730 - val_loss: 0.1879 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.1835 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1886 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1885 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.1788 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.1880 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1846 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9861 - val_loss: 0.1971 - val_categorical_accuracy: 0.9565 - 610ms/epoch - 4ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1926 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.1927 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1965 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1955 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.1937 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2044 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.1943 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2034 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.1975 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2082 - val_categorical_accuracy: 0.9569 - 610ms/epoch - 4ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1941 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.2041 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.1973 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9741 - val_loss: 0.1836 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.1815 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9826 - val_loss: 0.1824 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9864 - val_loss: 0.1966 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.1821 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2080 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.1975 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2058 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9868 - val_loss: 0.2300 - val_categorical_accuracy: 0.9519 - 620ms/epoch - 4ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0755 - categorical_accuracy: 0.9773 - val_loss: 0.1879 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.1833 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9866 - val_loss: 0.1873 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.1996 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2675 - val_categorical_accuracy: 0.9474 - 610ms/epoch - 4ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9863 - val_loss: 0.1962 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9866 - val_loss: 0.1878 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.2074 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.1929 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.1948 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2145 - val_categorical_accuracy: 0.9557 - 610ms/epoch - 4ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1953 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.1954 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9867 - val_loss: 0.2053 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9851 - val_loss: 0.1912 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9862 - val_loss: 0.1952 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9862 - val_loss: 0.1982 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9859 - val_loss: 0.1970 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2014 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2113 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1910 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.2251 - val_categorical_accuracy: 0.9509 - 610ms/epoch - 4ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9773 - val_loss: 0.1998 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1976 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.1935 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.1910 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1944 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2103 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9864 - val_loss: 0.2022 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1971 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2105 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9822 - val_loss: 0.8126 - val_categorical_accuracy: 0.7750 - 610ms/epoch - 4ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9726 - val_loss: 0.1826 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.1918 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.1874 - val_categorical_accuracy: 0.9633 - 610ms/epoch - 4ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.3521 - val_categorical_accuracy: 0.9233 - 610ms/epoch - 4ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9803 - val_loss: 0.1919 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2030 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1979 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.1926 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1968 - val_categorical_accuracy: 0.9585 - 617ms/epoch - 4ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.1925 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1926 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.2267 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2174 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.1894 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.2110 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.1935 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2025 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1910 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2133 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1897 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.1900 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2020 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2103 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2158 - val_categorical_accuracy: 0.9552 - 610ms/epoch - 4ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1898 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.1951 - val_categorical_accuracy: 0.9633 - 610ms/epoch - 4ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2098 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2126 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2143 - val_categorical_accuracy: 0.9566 - 610ms/epoch - 4ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2229 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.1775 - categorical_accuracy: 0.9531 - val_loss: 0.1890 - val_categorical_accuracy: 0.9485 - 610ms/epoch - 4ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9823 - val_loss: 0.1866 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9866 - val_loss: 0.1911 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9870 - val_loss: 0.2026 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2028 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2074 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.1851 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1941 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.1970 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9855 - val_loss: 0.1997 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2036 - val_categorical_accuracy: 0.9593 - 600ms/epoch - 4ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1940 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.2030 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1910 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.2292 - val_categorical_accuracy: 0.9528 - 610ms/epoch - 4ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2117 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2033 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2022 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2565 - val_categorical_accuracy: 0.9537 - 620ms/epoch - 4ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9782 - val_loss: 0.1892 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.1975 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.1927 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1949 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.2007 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.1983 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.1988 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1979 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1947 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9867 - val_loss: 0.1948 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1934 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.1914 - val_categorical_accuracy: 0.9638 - 610ms/epoch - 4ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2061 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1986 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2349 - val_categorical_accuracy: 0.9520 - 610ms/epoch - 4ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2056 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2117 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2158 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9873 - val_loss: 0.2033 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2089 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2005 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2152 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2164 - val_categorical_accuracy: 0.9544 - 610ms/epoch - 4ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0802 - categorical_accuracy: 0.9761 - val_loss: 0.2203 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1982 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2024 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.1934 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2020 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.1534 - categorical_accuracy: 0.9603 - val_loss: 0.1788 - val_categorical_accuracy: 0.9576 - 610ms/epoch - 4ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9849 - val_loss: 0.1850 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1938 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.1903 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9868 - val_loss: 0.2013 - val_categorical_accuracy: 0.9569 - 610ms/epoch - 4ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.1951 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2005 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.1898 - val_categorical_accuracy: 0.9640 - 610ms/epoch - 4ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9865 - val_loss: 0.2668 - val_categorical_accuracy: 0.9435 - 620ms/epoch - 4ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9772 - val_loss: 0.1920 - val_categorical_accuracy: 0.9611 - 600ms/epoch - 4ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.1841 - val_categorical_accuracy: 0.9639 - 610ms/epoch - 4ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.1949 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.1973 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2086 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.1930 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1966 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9854 - val_loss: 0.2164 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9803 - val_loss: 0.1921 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9870 - val_loss: 0.1907 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.1868 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.1936 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1971 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2063 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2123 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9873 - val_loss: 0.2273 - val_categorical_accuracy: 0.9510 - 610ms/epoch - 4ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2239 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1968 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2067 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2990 - val_categorical_accuracy: 0.9439 - 610ms/epoch - 4ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.2051 - val_categorical_accuracy: 0.9614 - 614ms/epoch - 4ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2191 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2065 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1976 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2041 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9862 - val_loss: 0.2007 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2011 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2149 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2074 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.2157 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2253 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2082 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9787 - val_loss: 0.3206 - val_categorical_accuracy: 0.9048 - 610ms/epoch - 4ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9815 - val_loss: 0.1886 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.1916 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.1931 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.2047 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2065 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2721 - val_categorical_accuracy: 0.9424 - 610ms/epoch - 4ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9795 - val_loss: 0.1955 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2014 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.1912 - val_categorical_accuracy: 0.9614 - 600ms/epoch - 4ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.1991 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1975 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.1989 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2070 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.1963 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2044 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2047 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.1979 - val_categorical_accuracy: 0.9637 - 610ms/epoch - 4ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2099 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2010 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2064 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2002 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2155 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2053 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2147 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2117 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2065 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2170 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9851 - val_loss: 0.3152 - val_categorical_accuracy: 0.9376 - 610ms/epoch - 4ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0870 - categorical_accuracy: 0.9751 - val_loss: 0.2493 - val_categorical_accuracy: 0.9450 - 610ms/epoch - 4ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.1913 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.1950 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.1991 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.1961 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.2056 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2151 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9815 - val_loss: 0.2174 - val_categorical_accuracy: 0.9492 - 610ms/epoch - 4ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.1961 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.1943 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.1992 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2015 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1988 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.1996 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2062 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2061 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2632 - val_categorical_accuracy: 0.9476 - 610ms/epoch - 4ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9859 - val_loss: 0.2061 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2098 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2268 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2059 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2075 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.3108 - val_categorical_accuracy: 0.9389 - 610ms/epoch - 4ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.1215 - categorical_accuracy: 0.9679 - val_loss: 0.1999 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9875 - val_loss: 0.2004 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.1923 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1974 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2007 - val_categorical_accuracy: 0.9624 - 600ms/epoch - 4ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9852 - val_loss: 0.2036 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.1934 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2004 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2041 - val_categorical_accuracy: 0.9619 - 600ms/epoch - 4ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9867 - val_loss: 0.2208 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2118 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9882 - val_loss: 0.2082 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2107 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.1990 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2077 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2089 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2034 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.8412 - val_categorical_accuracy: 0.8642 - 610ms/epoch - 4ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.1174 - categorical_accuracy: 0.9680 - val_loss: 0.1886 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.1873 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9883 - val_loss: 0.1991 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.1929 - val_categorical_accuracy: 0.9645 - 610ms/epoch - 4ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2057 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2100 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2005 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2041 - val_categorical_accuracy: 0.9637 - 610ms/epoch - 4ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.1971 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2030 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2023 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2143 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2032 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2110 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2109 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.3005 - val_categorical_accuracy: 0.9461 - 610ms/epoch - 4ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9835 - val_loss: 0.2274 - val_categorical_accuracy: 0.9558 - 611ms/epoch - 4ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2317 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2126 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2156 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2169 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2109 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2207 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2094 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2288 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2086 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2123 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2177 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2518 - val_categorical_accuracy: 0.9533 - 610ms/epoch - 4ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2183 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2098 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2075 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.4495 - val_categorical_accuracy: 0.9230 - 610ms/epoch - 4ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.1446 - categorical_accuracy: 0.9619 - val_loss: 0.1937 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.1881 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2045 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9882 - val_loss: 0.1976 - val_categorical_accuracy: 0.9619 - 600ms/epoch - 4ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2101 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2024 - val_categorical_accuracy: 0.9641 - 610ms/epoch - 4ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2237 - val_categorical_accuracy: 0.9543 - 600ms/epoch - 4ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2073 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2078 - val_categorical_accuracy: 0.9638 - 610ms/epoch - 4ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2021 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2116 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2193 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2142 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0978 - categorical_accuracy: 0.9753 - val_loss: 0.2383 - val_categorical_accuracy: 0.9384 - 610ms/epoch - 4ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9831 - val_loss: 0.1968 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.1979 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.1982 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2024 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2009 - val_categorical_accuracy: 0.9640 - 620ms/epoch - 4ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2087 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2045 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2063 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2049 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2371 - val_categorical_accuracy: 0.9552 - 610ms/epoch - 4ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9756 - val_loss: 0.1919 - val_categorical_accuracy: 0.9642 - 620ms/epoch - 4ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2070 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2069 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9886 - val_loss: 0.2053 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2123 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2058 - val_categorical_accuracy: 0.9622 - 620ms/epoch - 4ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2121 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2158 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2061 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2079 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2681 - val_categorical_accuracy: 0.9486 - 610ms/epoch - 4ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9803 - val_loss: 0.2669 - val_categorical_accuracy: 0.9496 - 610ms/epoch - 4ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2053 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2021 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2185 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0841 - categorical_accuracy: 0.9764 - val_loss: 0.2003 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.1960 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2005 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2010 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2119 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2161 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2033 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2178 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2044 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2073 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2173 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2091 - val_categorical_accuracy: 0.9624 - 620ms/epoch - 4ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2225 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.2125 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2056 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2107 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0853 - categorical_accuracy: 0.9765 - val_loss: 0.1859 - val_categorical_accuracy: 0.9629 - 620ms/epoch - 4ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2053 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.1972 - val_categorical_accuracy: 0.9638 - 610ms/epoch - 4ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2271 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2007 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2037 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2150 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2135 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2063 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2130 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2063 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2117 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2260 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2314 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9869 - val_loss: 0.2142 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2362 - val_categorical_accuracy: 0.9560 - 610ms/epoch - 4ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2060 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2102 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2158 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2136 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2198 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2159 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2129 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2150 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2280 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2178 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2248 - val_categorical_accuracy: 0.9620 - 611ms/epoch - 4ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2159 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2290 - val_categorical_accuracy: 0.9576 - 610ms/epoch - 4ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9790 - val_loss: 0.2150 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2034 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2142 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2167 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9790 - val_loss: 0.2917 - val_categorical_accuracy: 0.9505 - 610ms/epoch - 4ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2042 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2121 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2158 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2125 - val_categorical_accuracy: 0.9624 - 620ms/epoch - 4ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2207 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2197 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2168 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2063 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2131 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2266 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0959 - categorical_accuracy: 0.9745 - val_loss: 0.1955 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9879 - val_loss: 0.2259 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9886 - val_loss: 0.2066 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2068 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2081 - val_categorical_accuracy: 0.9628 - 620ms/epoch - 4ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2252 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9883 - val_loss: 0.2283 - val_categorical_accuracy: 0.9566 - 610ms/epoch - 4ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2111 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2299 - val_categorical_accuracy: 0.9546 - 610ms/epoch - 4ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2117 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2127 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2141 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2096 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2187 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2258 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2214 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.5003 - val_categorical_accuracy: 0.9116 - 610ms/epoch - 4ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0924 - categorical_accuracy: 0.9751 - val_loss: 0.2043 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2065 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2082 - val_categorical_accuracy: 0.9633 - 610ms/epoch - 4ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9890 - val_loss: 0.2118 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2149 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0801 - categorical_accuracy: 0.9775 - val_loss: 0.1983 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9881 - val_loss: 0.2121 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2004 - val_categorical_accuracy: 0.9630 - 650ms/epoch - 5ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2341 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2156 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2095 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2117 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2314 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2270 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2162 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2039 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2120 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2189 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2046 - val_categorical_accuracy: 0.9640 - 610ms/epoch - 4ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.2184 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2152 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2253 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2197 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2162 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2264 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2273 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2295 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2125 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2199 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2187 - val_categorical_accuracy: 0.9619 - 790ms/epoch - 6ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9876 - val_loss: 0.2875 - val_categorical_accuracy: 0.9440 - 610ms/epoch - 4ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9864 - val_loss: 0.2151 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2253 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2176 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2148 - val_categorical_accuracy: 0.9627 - 620ms/epoch - 4ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2234 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2203 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2157 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2148 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2351 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2237 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2263 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.2114 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.2291 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2684 - val_categorical_accuracy: 0.9500 - 610ms/epoch - 4ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2209 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2172 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2237 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.1105 - categorical_accuracy: 0.9744 - val_loss: 0.4724 - val_categorical_accuracy: 0.8512 - 610ms/epoch - 4ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9695 - val_loss: 0.1946 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2028 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2102 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9882 - val_loss: 0.2096 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2208 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2067 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9888 - val_loss: 0.2151 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9883 - val_loss: 0.2144 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2134 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2283 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2124 - val_categorical_accuracy: 0.9643 - 610ms/epoch - 4ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2197 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2222 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2184 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2373 - val_categorical_accuracy: 0.9584 - 612ms/epoch - 4ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9889 - val_loss: 0.2453 - val_categorical_accuracy: 0.9550 - 610ms/epoch - 4ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2291 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2275 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2386 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2161 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2148 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2191 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2310 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2484 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2227 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2451 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.1828 - categorical_accuracy: 0.9513 - val_loss: 0.1959 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2066 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2085 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2111 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9885 - val_loss: 0.2171 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2078 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2186 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2122 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2151 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2218 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2178 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2168 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0778 - categorical_accuracy: 0.9783 - val_loss: 0.2119 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.2186 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2078 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.2186 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2089 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2175 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2207 - val_categorical_accuracy: 0.9624 - 610ms/epoch - 4ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9886 - val_loss: 0.2093 - val_categorical_accuracy: 0.9636 - 610ms/epoch - 4ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2097 - val_categorical_accuracy: 0.9641 - 620ms/epoch - 4ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2469 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2335 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2104 - val_categorical_accuracy: 0.9640 - 610ms/epoch - 4ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2176 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2179 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2201 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2235 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0818 - categorical_accuracy: 0.9767 - val_loss: 0.2109 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.2155 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2076 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2134 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2137 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2182 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2083 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2192 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2491 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2114 - val_categorical_accuracy: 0.9633 - 620ms/epoch - 4ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2296 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2281 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2204 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9885 - val_loss: 0.2376 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2206 - val_categorical_accuracy: 0.9627 - 620ms/epoch - 4ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2404 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2227 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2286 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2152 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2265 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2263 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2322 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2407 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2191 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2745 - val_categorical_accuracy: 0.9507 - 610ms/epoch - 4ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2242 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9888 - val_loss: 0.2317 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2255 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2366 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2270 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2391 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2428 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2312 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2363 - val_categorical_accuracy: 0.9576 - 610ms/epoch - 4ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2272 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2259 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2270 - val_categorical_accuracy: 0.9634 - 610ms/epoch - 4ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2385 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9881 - val_loss: 0.2340 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2346 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2334 - val_categorical_accuracy: 0.9617 - 610ms/epoch - 4ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9861 - val_loss: 0.2243 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2232 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2675 - val_categorical_accuracy: 0.9511 - 610ms/epoch - 4ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.1460 - categorical_accuracy: 0.9618 - val_loss: 0.2058 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2018 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.2103 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2107 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2279 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2081 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2174 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2234 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2226 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2244 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2230 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2173 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2198 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2224 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2235 - val_categorical_accuracy: 0.9631 - 615ms/epoch - 4ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2482 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2250 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2374 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2290 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2403 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9890 - val_loss: 0.2272 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2309 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2275 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2538 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2258 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.2310 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2314 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2287 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9812 - val_loss: 0.2437 - val_categorical_accuracy: 0.9424 - 610ms/epoch - 4ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2134 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9893 - val_loss: 0.2191 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2225 - val_categorical_accuracy: 0.9639 - 610ms/epoch - 4ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2225 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2244 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2223 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9892 - val_loss: 0.2157 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2368 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2252 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9891 - val_loss: 0.2210 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2241 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2240 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2430 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2311 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2360 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2289 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2362 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2282 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2343 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2285 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0984 - categorical_accuracy: 0.9749 - val_loss: 0.2053 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.2188 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9891 - val_loss: 0.2101 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9896 - val_loss: 0.2205 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9895 - val_loss: 0.2215 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2606 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2162 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2240 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2258 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2337 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2234 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2267 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2446 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2314 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2313 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2358 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2254 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.1030 - categorical_accuracy: 0.9730 - val_loss: 0.2164 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2164 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9892 - val_loss: 0.2321 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2263 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2194 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9855 - val_loss: 0.2280 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2292 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2235 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2176 - val_categorical_accuracy: 0.9639 - 610ms/epoch - 4ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2354 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2181 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2214 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2273 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2213 - val_categorical_accuracy: 0.9633 - 620ms/epoch - 4ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2162 - val_categorical_accuracy: 0.9631 - 620ms/epoch - 4ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2263 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2209 - val_categorical_accuracy: 0.9637 - 610ms/epoch - 4ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2350 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2308 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2385 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2386 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2296 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.3017 - val_categorical_accuracy: 0.9430 - 610ms/epoch - 4ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9769 - val_loss: 0.2123 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9892 - val_loss: 0.2243 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2150 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2220 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2258 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2185 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2219 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2217 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2310 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2284 - val_categorical_accuracy: 0.9615 - 610ms/epoch - 4ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2250 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9879 - val_loss: 0.2955 - val_categorical_accuracy: 0.9501 - 610ms/epoch - 4ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2308 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2234 - val_categorical_accuracy: 0.9628 - 620ms/epoch - 4ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2355 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9897 - val_loss: 0.2586 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9745 - val_loss: 0.2322 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2234 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2383 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2174 - val_categorical_accuracy: 0.9623 - 610ms/epoch - 4ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9896 - val_loss: 0.2179 - val_categorical_accuracy: 0.9635 - 610ms/epoch - 4ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2298 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2234 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2224 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2228 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2332 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2279 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2224 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9895 - val_loss: 0.2339 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2321 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2194 - val_categorical_accuracy: 0.9634 - 620ms/epoch - 4ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2249 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2436 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.4335 - val_categorical_accuracy: 0.9201 - 630ms/epoch - 4ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.2600 - categorical_accuracy: 0.9324 - val_loss: 0.2233 - val_categorical_accuracy: 0.9527 - 610ms/epoch - 4ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2107 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9884 - val_loss: 0.2015 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9892 - val_loss: 0.2128 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9887 - val_loss: 0.2265 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2371 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9894 - val_loss: 0.2256 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2210 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9891 - val_loss: 0.2354 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2231 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2208 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2266 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2298 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2361 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2223 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2247 - val_categorical_accuracy: 0.9624 - 620ms/epoch - 4ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2204 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9827 - val_loss: 0.2293 - val_categorical_accuracy: 0.9491 - 610ms/epoch - 4ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2206 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2088 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9895 - val_loss: 0.2219 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2233 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2208 - val_categorical_accuracy: 0.9624 - 620ms/epoch - 4ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2349 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2384 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2371 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.3107 - val_categorical_accuracy: 0.9465 - 610ms/epoch - 4ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9822 - val_loss: 0.2165 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2160 - val_categorical_accuracy: 0.9622 - 610ms/epoch - 4ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2198 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2487 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2269 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9896 - val_loss: 0.2271 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2543 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.2162 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2183 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9895 - val_loss: 0.2328 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2282 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2317 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2327 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2388 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2374 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2198 - val_categorical_accuracy: 0.9631 - 610ms/epoch - 4ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2286 - val_categorical_accuracy: 0.9633 - 610ms/epoch - 4ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9894 - val_loss: 0.2386 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2236 - val_categorical_accuracy: 0.9628 - 610ms/epoch - 4ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2308 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2235 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.1019 - categorical_accuracy: 0.9748 - val_loss: 0.2274 - val_categorical_accuracy: 0.9454 - 610ms/epoch - 4ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.2019 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9894 - val_loss: 0.2141 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2144 - val_categorical_accuracy: 0.9638 - 610ms/epoch - 4ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2124 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2338 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2229 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9895 - val_loss: 0.2246 - val_categorical_accuracy: 0.9625 - 610ms/epoch - 4ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.2208 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2286 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2310 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2349 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2376 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2280 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2390 - val_categorical_accuracy: 0.9562 - 610ms/epoch - 4ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2312 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2255 - val_categorical_accuracy: 0.9629 - 610ms/epoch - 4ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2303 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2341 - val_categorical_accuracy: 0.9629 - 620ms/epoch - 4ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2662 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9893 - val_loss: 0.2800 - val_categorical_accuracy: 0.9520 - 610ms/epoch - 4ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2442 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2362 - val_categorical_accuracy: 0.9587 - 690ms/epoch - 5ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2407 - val_categorical_accuracy: 0.9606 - 700ms/epoch - 5ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9807 - val_loss: 0.2190 - val_categorical_accuracy: 0.9539 - 690ms/epoch - 5ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2142 - val_categorical_accuracy: 0.9634 - 690ms/epoch - 5ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2232 - val_categorical_accuracy: 0.9633 - 680ms/epoch - 5ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2368 - val_categorical_accuracy: 0.9588 - 700ms/epoch - 5ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2250 - val_categorical_accuracy: 0.9629 - 690ms/epoch - 5ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2423 - val_categorical_accuracy: 0.9603 - 690ms/epoch - 5ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2346 - val_categorical_accuracy: 0.9616 - 680ms/epoch - 5ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2205 - val_categorical_accuracy: 0.9620 - 700ms/epoch - 5ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2407 - val_categorical_accuracy: 0.9601 - 700ms/epoch - 5ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9895 - val_loss: 0.2720 - val_categorical_accuracy: 0.9534 - 690ms/epoch - 5ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2374 - val_categorical_accuracy: 0.9594 - 690ms/epoch - 5ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2376 - val_categorical_accuracy: 0.9621 - 700ms/epoch - 5ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2359 - val_categorical_accuracy: 0.9609 - 696ms/epoch - 5ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2481 - val_categorical_accuracy: 0.9604 - 690ms/epoch - 5ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2320 - val_categorical_accuracy: 0.9625 - 690ms/epoch - 5ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9742 - val_loss: 0.2054 - val_categorical_accuracy: 0.9626 - 700ms/epoch - 5ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2197 - val_categorical_accuracy: 0.9598 - 680ms/epoch - 5ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2277 - val_categorical_accuracy: 0.9591 - 700ms/epoch - 5ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9899 - val_loss: 0.2166 - val_categorical_accuracy: 0.9627 - 690ms/epoch - 5ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.2218 - val_categorical_accuracy: 0.9626 - 700ms/epoch - 5ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9898 - val_loss: 0.2180 - val_categorical_accuracy: 0.9640 - 690ms/epoch - 5ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2294 - val_categorical_accuracy: 0.9599 - 680ms/epoch - 5ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9893 - val_loss: 0.2286 - val_categorical_accuracy: 0.9620 - 700ms/epoch - 5ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2267 - val_categorical_accuracy: 0.9599 - 690ms/epoch - 5ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9897 - val_loss: 0.2378 - val_categorical_accuracy: 0.9610 - 866ms/epoch - 6ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2239 - val_categorical_accuracy: 0.9638 - 740ms/epoch - 5ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2312 - val_categorical_accuracy: 0.9614 - 710ms/epoch - 5ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2265 - val_categorical_accuracy: 0.9619 - 720ms/epoch - 5ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2389 - val_categorical_accuracy: 0.9585 - 720ms/epoch - 5ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2401 - val_categorical_accuracy: 0.9601 - 700ms/epoch - 5ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9899 - val_loss: 0.2302 - val_categorical_accuracy: 0.9606 - 720ms/epoch - 5ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 1.1588 - val_categorical_accuracy: 0.8502 - 690ms/epoch - 5ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.1575 - categorical_accuracy: 0.9581 - val_loss: 0.2012 - val_categorical_accuracy: 0.9610 - 717ms/epoch - 5ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9890 - val_loss: 0.2059 - val_categorical_accuracy: 0.9631 - 724ms/epoch - 5ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2138 - val_categorical_accuracy: 0.9607 - 710ms/epoch - 5ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9897 - val_loss: 0.2228 - val_categorical_accuracy: 0.9605 - 690ms/epoch - 5ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9897 - val_loss: 0.2188 - val_categorical_accuracy: 0.9630 - 690ms/epoch - 5ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2228 - val_categorical_accuracy: 0.9618 - 690ms/epoch - 5ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2244 - val_categorical_accuracy: 0.9635 - 680ms/epoch - 5ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9896 - val_loss: 0.2308 - val_categorical_accuracy: 0.9624 - 710ms/epoch - 5ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2280 - val_categorical_accuracy: 0.9631 - 680ms/epoch - 5ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9897 - val_loss: 0.2219 - val_categorical_accuracy: 0.9637 - 690ms/epoch - 5ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2295 - val_categorical_accuracy: 0.9599 - 690ms/epoch - 5ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9896 - val_loss: 0.2342 - val_categorical_accuracy: 0.9603 - 710ms/epoch - 5ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2444 - val_categorical_accuracy: 0.9596 - 690ms/epoch - 5ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2457 - val_categorical_accuracy: 0.9590 - 700ms/epoch - 5ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2293 - val_categorical_accuracy: 0.9606 - 690ms/epoch - 5ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2349 - val_categorical_accuracy: 0.9606 - 690ms/epoch - 5ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2306 - val_categorical_accuracy: 0.9622 - 710ms/epoch - 5ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9902 - val_loss: 0.2306 - val_categorical_accuracy: 0.9628 - 699ms/epoch - 5ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2331 - val_categorical_accuracy: 0.9624 - 686ms/epoch - 5ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.2362 - val_categorical_accuracy: 0.9596 - 686ms/epoch - 5ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2334 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9896 - val_loss: 0.2332 - val_categorical_accuracy: 0.9623 - 669ms/epoch - 5ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2397 - val_categorical_accuracy: 0.9626 - 669ms/epoch - 5ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2384 - val_categorical_accuracy: 0.9613 - 648ms/epoch - 5ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9793 - val_loss: 0.1982 - val_categorical_accuracy: 0.9595 - 680ms/epoch - 5ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2084 - val_categorical_accuracy: 0.9617 - 702ms/epoch - 5ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2184 - val_categorical_accuracy: 0.9626 - 668ms/epoch - 5ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.2307 - val_categorical_accuracy: 0.9606 - 683ms/epoch - 5ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9897 - val_loss: 0.2248 - val_categorical_accuracy: 0.9624 - 686ms/epoch - 5ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2264 - val_categorical_accuracy: 0.9622 - 670ms/epoch - 5ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.2449 - val_categorical_accuracy: 0.9597 - 671ms/epoch - 5ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2318 - val_categorical_accuracy: 0.9616 - 655ms/epoch - 5ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2395 - val_categorical_accuracy: 0.9603 - 635ms/epoch - 5ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9898 - val_loss: 0.2293 - val_categorical_accuracy: 0.9619 - 654ms/epoch - 5ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.2475 - val_categorical_accuracy: 0.9589 - 672ms/epoch - 5ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2475 - val_categorical_accuracy: 0.9589 - 655ms/epoch - 5ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9872 - val_loss: 0.2451 - val_categorical_accuracy: 0.9632 - 654ms/epoch - 5ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2474 - val_categorical_accuracy: 0.9608 - 656ms/epoch - 5ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9899 - val_loss: 0.2311 - val_categorical_accuracy: 0.9611 - 637ms/epoch - 5ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.3079 - val_categorical_accuracy: 0.9452 - 654ms/epoch - 5ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.2330 - val_categorical_accuracy: 0.9613 - 669ms/epoch - 5ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9897 - val_loss: 0.2315 - val_categorical_accuracy: 0.9616 - 654ms/epoch - 5ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2454 - val_categorical_accuracy: 0.9570 - 669ms/epoch - 5ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2282 - val_categorical_accuracy: 0.9629 - 667ms/epoch - 5ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9886 - val_loss: 0.2314 - val_categorical_accuracy: 0.9633 - 654ms/epoch - 5ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9899 - val_loss: 0.2293 - val_categorical_accuracy: 0.9645 - 653ms/epoch - 5ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2324 - val_categorical_accuracy: 0.9632 - 656ms/epoch - 5ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.1209 - categorical_accuracy: 0.9690 - val_loss: 0.2038 - val_categorical_accuracy: 0.9593 - 653ms/epoch - 5ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9883 - val_loss: 0.2159 - val_categorical_accuracy: 0.9625 - 678ms/epoch - 5ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2169 - val_categorical_accuracy: 0.9612 - 666ms/epoch - 5ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9898 - val_loss: 0.2169 - val_categorical_accuracy: 0.9625 - 637ms/epoch - 5ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0269 - categorical_accuracy: 0.9902 - val_loss: 0.2206 - val_categorical_accuracy: 0.9613 - 671ms/epoch - 5ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0263 - categorical_accuracy: 0.9902 - val_loss: 0.2332 - val_categorical_accuracy: 0.9624 - 672ms/epoch - 5ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0270 - categorical_accuracy: 0.9900 - val_loss: 0.2317 - val_categorical_accuracy: 0.9625 - 653ms/epoch - 5ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9896 - val_loss: 0.2284 - val_categorical_accuracy: 0.9617 - 653ms/epoch - 5ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0274 - categorical_accuracy: 0.9899 - val_loss: 0.2372 - val_categorical_accuracy: 0.9602 - 653ms/epoch - 5ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2338 - val_categorical_accuracy: 0.9626 - 641ms/epoch - 5ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2291 - val_categorical_accuracy: 0.9627 - 665ms/epoch - 5ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2894 - val_categorical_accuracy: 0.9546 - 654ms/epoch - 5ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9895 - val_loss: 0.2351 - val_categorical_accuracy: 0.9612 - 655ms/epoch - 5ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9897 - val_loss: 0.2541 - val_categorical_accuracy: 0.9595 - 669ms/epoch - 5ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2376 - val_categorical_accuracy: 0.9596 - 650ms/epoch - 5ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2372 - val_categorical_accuracy: 0.9605 - 652ms/epoch - 5ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2430 - val_categorical_accuracy: 0.9604 - 670ms/epoch - 5ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0265 - categorical_accuracy: 0.9901 - val_loss: 0.2451 - val_categorical_accuracy: 0.9573 - 638ms/epoch - 5ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2347 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0262 - categorical_accuracy: 0.9902 - val_loss: 0.2296 - val_categorical_accuracy: 0.9625 - 671ms/epoch - 5ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9898 - val_loss: 0.2442 - val_categorical_accuracy: 0.9622 - 652ms/epoch - 5ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2397 - val_categorical_accuracy: 0.9596 - 653ms/epoch - 5ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2527 - val_categorical_accuracy: 0.9587 - 668ms/epoch - 5ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2313 - val_categorical_accuracy: 0.9623 - 832ms/epoch - 6ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0266 - categorical_accuracy: 0.9902 - val_loss: 0.2409 - val_categorical_accuracy: 0.9622 - 654ms/epoch - 5ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.2434 - val_categorical_accuracy: 0.9604 - 669ms/epoch - 5ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9872 - val_loss: 0.2490 - val_categorical_accuracy: 0.9585 - 671ms/epoch - 5ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2664 - val_categorical_accuracy: 0.9585 - 669ms/epoch - 5ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9897 - val_loss: 0.2369 - val_categorical_accuracy: 0.9609 - 686ms/epoch - 5ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9891 - val_loss: 0.2436 - val_categorical_accuracy: 0.9607 - 652ms/epoch - 5ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2441 - val_categorical_accuracy: 0.9615 - 670ms/epoch - 5ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9895 - val_loss: 0.2456 - val_categorical_accuracy: 0.9601 - 669ms/epoch - 5ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2529 - val_categorical_accuracy: 0.9618 - 656ms/epoch - 5ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9895 - val_loss: 0.2426 - val_categorical_accuracy: 0.9601 - 655ms/epoch - 5ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2409 - val_categorical_accuracy: 0.9608 - 669ms/epoch - 5ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2412 - val_categorical_accuracy: 0.9628 - 666ms/epoch - 5ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2463 - val_categorical_accuracy: 0.9593 - 656ms/epoch - 5ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2340 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0277 - categorical_accuracy: 0.9895 - val_loss: 0.2429 - val_categorical_accuracy: 0.9603 - 656ms/epoch - 5ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9898 - val_loss: 0.2442 - val_categorical_accuracy: 0.9624 - 654ms/epoch - 5ms/step
processing fold # 5 
Epoch 1/1500
141/141 - 1s - loss: 1.9835 - categorical_accuracy: 0.2536 - val_loss: 1.7895 - val_categorical_accuracy: 0.3244 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5976 - categorical_accuracy: 0.3949 - val_loss: 1.4170 - val_categorical_accuracy: 0.4514 - 729ms/epoch - 5ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3479 - categorical_accuracy: 0.4880 - val_loss: 1.2708 - val_categorical_accuracy: 0.5326 - 656ms/epoch - 5ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1923 - categorical_accuracy: 0.5522 - val_loss: 1.1182 - val_categorical_accuracy: 0.5636 - 700ms/epoch - 5ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.0743 - categorical_accuracy: 0.5994 - val_loss: 1.0379 - val_categorical_accuracy: 0.5998 - 667ms/epoch - 5ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9923 - categorical_accuracy: 0.6340 - val_loss: 0.8704 - val_categorical_accuracy: 0.6660 - 655ms/epoch - 5ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8925 - categorical_accuracy: 0.6682 - val_loss: 0.7808 - val_categorical_accuracy: 0.6995 - 702ms/epoch - 5ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.8118 - categorical_accuracy: 0.6961 - val_loss: 0.7164 - val_categorical_accuracy: 0.7256 - 653ms/epoch - 5ms/step
Epoch 9/1500
141/141 - 1s - loss: 1.0974 - categorical_accuracy: 0.6146 - val_loss: 1.8035 - val_categorical_accuracy: 0.3283 - 663ms/epoch - 5ms/step
Epoch 10/1500
141/141 - 1s - loss: 1.3362 - categorical_accuracy: 0.5167 - val_loss: 1.0029 - val_categorical_accuracy: 0.6272 - 668ms/epoch - 5ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.9348 - categorical_accuracy: 0.6556 - val_loss: 0.7861 - val_categorical_accuracy: 0.7024 - 653ms/epoch - 5ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.7883 - categorical_accuracy: 0.7064 - val_loss: 0.6914 - val_categorical_accuracy: 0.7348 - 650ms/epoch - 5ms/step
Epoch 13/1500
141/141 - 1s - loss: 1.0414 - categorical_accuracy: 0.6379 - val_loss: 1.4880 - val_categorical_accuracy: 0.4542 - 702ms/epoch - 5ms/step
Epoch 14/1500
141/141 - 1s - loss: 1.0301 - categorical_accuracy: 0.6238 - val_loss: 0.7658 - val_categorical_accuracy: 0.7121 - 655ms/epoch - 5ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.7578 - categorical_accuracy: 0.7183 - val_loss: 0.6888 - val_categorical_accuracy: 0.7431 - 670ms/epoch - 5ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.7011 - categorical_accuracy: 0.7412 - val_loss: 0.6477 - val_categorical_accuracy: 0.7469 - 669ms/epoch - 5ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.6334 - categorical_accuracy: 0.7644 - val_loss: 0.5697 - val_categorical_accuracy: 0.7841 - 670ms/epoch - 5ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.6055 - categorical_accuracy: 0.7746 - val_loss: 0.5608 - val_categorical_accuracy: 0.7897 - 672ms/epoch - 5ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.6943 - categorical_accuracy: 0.7567 - val_loss: 0.5397 - val_categorical_accuracy: 0.8009 - 700ms/epoch - 5ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.5463 - categorical_accuracy: 0.7963 - val_loss: 0.7300 - val_categorical_accuracy: 0.7443 - 685ms/epoch - 5ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.5194 - categorical_accuracy: 0.8061 - val_loss: 0.4832 - val_categorical_accuracy: 0.8243 - 655ms/epoch - 5ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.6320 - categorical_accuracy: 0.7857 - val_loss: 0.5168 - val_categorical_accuracy: 0.8106 - 671ms/epoch - 5ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4821 - categorical_accuracy: 0.8225 - val_loss: 0.4836 - val_categorical_accuracy: 0.8121 - 685ms/epoch - 5ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.4846 - categorical_accuracy: 0.8235 - val_loss: 0.4493 - val_categorical_accuracy: 0.8356 - 655ms/epoch - 5ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.4565 - categorical_accuracy: 0.8316 - val_loss: 0.4479 - val_categorical_accuracy: 0.8349 - 685ms/epoch - 5ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.4247 - categorical_accuracy: 0.8434 - val_loss: 0.4214 - val_categorical_accuracy: 0.8440 - 656ms/epoch - 5ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.4498 - categorical_accuracy: 0.8400 - val_loss: 0.4371 - val_categorical_accuracy: 0.8375 - 654ms/epoch - 5ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.4521 - categorical_accuracy: 0.8395 - val_loss: 0.4270 - val_categorical_accuracy: 0.8376 - 671ms/epoch - 5ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.4019 - categorical_accuracy: 0.8530 - val_loss: 0.3968 - val_categorical_accuracy: 0.8533 - 665ms/epoch - 5ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3966 - categorical_accuracy: 0.8560 - val_loss: 0.3690 - val_categorical_accuracy: 0.8686 - 639ms/epoch - 5ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.4064 - categorical_accuracy: 0.8583 - val_loss: 0.3908 - val_categorical_accuracy: 0.8553 - 684ms/epoch - 5ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3601 - categorical_accuracy: 0.8687 - val_loss: 0.3522 - val_categorical_accuracy: 0.8724 - 671ms/epoch - 5ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3704 - categorical_accuracy: 0.8662 - val_loss: 0.3885 - val_categorical_accuracy: 0.8572 - 656ms/epoch - 5ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.3566 - categorical_accuracy: 0.8723 - val_loss: 0.3643 - val_categorical_accuracy: 0.8671 - 671ms/epoch - 5ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.3471 - categorical_accuracy: 0.8766 - val_loss: 0.3572 - val_categorical_accuracy: 0.8728 - 656ms/epoch - 5ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.3265 - categorical_accuracy: 0.8816 - val_loss: 0.3684 - val_categorical_accuracy: 0.8686 - 639ms/epoch - 5ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3374 - categorical_accuracy: 0.8799 - val_loss: 0.3650 - val_categorical_accuracy: 0.8681 - 686ms/epoch - 5ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3508 - categorical_accuracy: 0.8778 - val_loss: 0.3355 - val_categorical_accuracy: 0.8764 - 652ms/epoch - 5ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.3255 - categorical_accuracy: 0.8850 - val_loss: 0.3291 - val_categorical_accuracy: 0.8829 - 655ms/epoch - 5ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2964 - categorical_accuracy: 0.8936 - val_loss: 0.3269 - val_categorical_accuracy: 0.8824 - 687ms/epoch - 5ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2988 - categorical_accuracy: 0.8935 - val_loss: 0.3364 - val_categorical_accuracy: 0.8786 - 656ms/epoch - 5ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.3209 - categorical_accuracy: 0.8878 - val_loss: 0.2835 - val_categorical_accuracy: 0.8996 - 671ms/epoch - 5ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.3491 - categorical_accuracy: 0.8830 - val_loss: 0.3416 - val_categorical_accuracy: 0.8838 - 686ms/epoch - 5ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2725 - categorical_accuracy: 0.9043 - val_loss: 0.2961 - val_categorical_accuracy: 0.8943 - 655ms/epoch - 5ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.3307 - categorical_accuracy: 0.8876 - val_loss: 0.2886 - val_categorical_accuracy: 0.8984 - 653ms/epoch - 5ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2664 - categorical_accuracy: 0.9056 - val_loss: 0.3586 - val_categorical_accuracy: 0.8732 - 681ms/epoch - 5ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2614 - categorical_accuracy: 0.9067 - val_loss: 0.4440 - val_categorical_accuracy: 0.8503 - 670ms/epoch - 5ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2999 - categorical_accuracy: 0.8975 - val_loss: 0.2736 - val_categorical_accuracy: 0.9041 - 655ms/epoch - 5ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2683 - categorical_accuracy: 0.9060 - val_loss: 0.2523 - val_categorical_accuracy: 0.9129 - 684ms/epoch - 5ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2546 - categorical_accuracy: 0.9096 - val_loss: 0.2588 - val_categorical_accuracy: 0.9091 - 652ms/epoch - 5ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2443 - categorical_accuracy: 0.9135 - val_loss: 0.2500 - val_categorical_accuracy: 0.9121 - 652ms/epoch - 5ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2516 - categorical_accuracy: 0.9115 - val_loss: 0.2691 - val_categorical_accuracy: 0.9059 - 670ms/epoch - 5ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2400 - categorical_accuracy: 0.9151 - val_loss: 0.2505 - val_categorical_accuracy: 0.9127 - 655ms/epoch - 5ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2394 - categorical_accuracy: 0.9166 - val_loss: 0.2627 - val_categorical_accuracy: 0.9079 - 655ms/epoch - 5ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2953 - categorical_accuracy: 0.9023 - val_loss: 0.3255 - val_categorical_accuracy: 0.8817 - 671ms/epoch - 5ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2298 - categorical_accuracy: 0.9191 - val_loss: 0.2301 - val_categorical_accuracy: 0.9198 - 670ms/epoch - 5ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2645 - categorical_accuracy: 0.9103 - val_loss: 0.2486 - val_categorical_accuracy: 0.9129 - 654ms/epoch - 5ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2190 - categorical_accuracy: 0.9230 - val_loss: 0.2416 - val_categorical_accuracy: 0.9168 - 671ms/epoch - 5ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.2310 - categorical_accuracy: 0.9190 - val_loss: 0.2690 - val_categorical_accuracy: 0.9052 - 668ms/epoch - 5ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2111 - categorical_accuracy: 0.9254 - val_loss: 0.2350 - val_categorical_accuracy: 0.9174 - 653ms/epoch - 5ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.2175 - categorical_accuracy: 0.9234 - val_loss: 0.2811 - val_categorical_accuracy: 0.9025 - 687ms/epoch - 5ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.2515 - categorical_accuracy: 0.9165 - val_loss: 0.2905 - val_categorical_accuracy: 0.8992 - 648ms/epoch - 5ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.2098 - categorical_accuracy: 0.9261 - val_loss: 0.2177 - val_categorical_accuracy: 0.9230 - 652ms/epoch - 5ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.2168 - categorical_accuracy: 0.9249 - val_loss: 0.6191 - val_categorical_accuracy: 0.8025 - 655ms/epoch - 5ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1970 - categorical_accuracy: 0.9315 - val_loss: 0.2414 - val_categorical_accuracy: 0.9139 - 667ms/epoch - 5ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.4592 - categorical_accuracy: 0.8624 - val_loss: 0.3392 - val_categorical_accuracy: 0.8826 - 638ms/epoch - 5ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.2342 - categorical_accuracy: 0.9189 - val_loss: 0.2700 - val_categorical_accuracy: 0.9044 - 701ms/epoch - 5ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.2083 - categorical_accuracy: 0.9268 - val_loss: 0.2667 - val_categorical_accuracy: 0.9068 - 667ms/epoch - 5ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1998 - categorical_accuracy: 0.9299 - val_loss: 0.2225 - val_categorical_accuracy: 0.9226 - 671ms/epoch - 5ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1967 - categorical_accuracy: 0.9315 - val_loss: 0.2300 - val_categorical_accuracy: 0.9190 - 686ms/epoch - 5ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.2010 - categorical_accuracy: 0.9299 - val_loss: 0.5417 - val_categorical_accuracy: 0.8286 - 655ms/epoch - 5ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1938 - categorical_accuracy: 0.9329 - val_loss: 0.2384 - val_categorical_accuracy: 0.9158 - 639ms/epoch - 5ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1940 - categorical_accuracy: 0.9327 - val_loss: 0.1943 - val_categorical_accuracy: 0.9332 - 681ms/epoch - 5ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1855 - categorical_accuracy: 0.9354 - val_loss: 0.2381 - val_categorical_accuracy: 0.9165 - 640ms/epoch - 5ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.2204 - categorical_accuracy: 0.9269 - val_loss: 0.2307 - val_categorical_accuracy: 0.9201 - 685ms/epoch - 5ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1786 - categorical_accuracy: 0.9375 - val_loss: 0.2704 - val_categorical_accuracy: 0.9032 - 671ms/epoch - 5ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1779 - categorical_accuracy: 0.9382 - val_loss: 0.3207 - val_categorical_accuracy: 0.8932 - 667ms/epoch - 5ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.2613 - categorical_accuracy: 0.9183 - val_loss: 0.2024 - val_categorical_accuracy: 0.9311 - 651ms/epoch - 5ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1747 - categorical_accuracy: 0.9397 - val_loss: 0.2763 - val_categorical_accuracy: 0.8990 - 688ms/epoch - 5ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1752 - categorical_accuracy: 0.9394 - val_loss: 0.2091 - val_categorical_accuracy: 0.9275 - 665ms/epoch - 5ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1815 - categorical_accuracy: 0.9385 - val_loss: 0.2130 - val_categorical_accuracy: 0.9270 - 652ms/epoch - 5ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1616 - categorical_accuracy: 0.9440 - val_loss: 0.1938 - val_categorical_accuracy: 0.9348 - 671ms/epoch - 5ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1782 - categorical_accuracy: 0.9385 - val_loss: 0.1994 - val_categorical_accuracy: 0.9322 - 672ms/epoch - 5ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1565 - categorical_accuracy: 0.9457 - val_loss: 0.1989 - val_categorical_accuracy: 0.9329 - 651ms/epoch - 5ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1705 - categorical_accuracy: 0.9402 - val_loss: 0.2111 - val_categorical_accuracy: 0.9264 - 686ms/epoch - 5ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.3502 - categorical_accuracy: 0.8989 - val_loss: 0.2009 - val_categorical_accuracy: 0.9328 - 652ms/epoch - 5ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1551 - categorical_accuracy: 0.9469 - val_loss: 0.2036 - val_categorical_accuracy: 0.9292 - 656ms/epoch - 5ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1645 - categorical_accuracy: 0.9428 - val_loss: 0.1902 - val_categorical_accuracy: 0.9352 - 671ms/epoch - 5ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1619 - categorical_accuracy: 0.9446 - val_loss: 0.2466 - val_categorical_accuracy: 0.9149 - 669ms/epoch - 5ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1674 - categorical_accuracy: 0.9421 - val_loss: 0.1907 - val_categorical_accuracy: 0.9366 - 653ms/epoch - 5ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1499 - categorical_accuracy: 0.9485 - val_loss: 0.2162 - val_categorical_accuracy: 0.9235 - 687ms/epoch - 5ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1631 - categorical_accuracy: 0.9436 - val_loss: 0.2170 - val_categorical_accuracy: 0.9276 - 649ms/epoch - 5ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1510 - categorical_accuracy: 0.9478 - val_loss: 0.2408 - val_categorical_accuracy: 0.9145 - 654ms/epoch - 5ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.2100 - categorical_accuracy: 0.9330 - val_loss: 0.2041 - val_categorical_accuracy: 0.9299 - 687ms/epoch - 5ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1405 - categorical_accuracy: 0.9521 - val_loss: 0.1989 - val_categorical_accuracy: 0.9320 - 655ms/epoch - 5ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1484 - categorical_accuracy: 0.9488 - val_loss: 0.2453 - val_categorical_accuracy: 0.9186 - 638ms/epoch - 5ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1549 - categorical_accuracy: 0.9460 - val_loss: 0.2465 - val_categorical_accuracy: 0.9156 - 669ms/epoch - 5ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1450 - categorical_accuracy: 0.9497 - val_loss: 0.1929 - val_categorical_accuracy: 0.9353 - 651ms/epoch - 5ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1398 - categorical_accuracy: 0.9516 - val_loss: 0.2356 - val_categorical_accuracy: 0.9202 - 655ms/epoch - 5ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1689 - categorical_accuracy: 0.9429 - val_loss: 0.1954 - val_categorical_accuracy: 0.9335 - 672ms/epoch - 5ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1376 - categorical_accuracy: 0.9522 - val_loss: 0.2075 - val_categorical_accuracy: 0.9271 - 653ms/epoch - 5ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1463 - categorical_accuracy: 0.9495 - val_loss: 0.1826 - val_categorical_accuracy: 0.9389 - 656ms/epoch - 5ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1371 - categorical_accuracy: 0.9528 - val_loss: 0.2146 - val_categorical_accuracy: 0.9286 - 681ms/epoch - 5ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1525 - categorical_accuracy: 0.9479 - val_loss: 0.1793 - val_categorical_accuracy: 0.9389 - 653ms/epoch - 5ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1367 - categorical_accuracy: 0.9529 - val_loss: 2.4766 - val_categorical_accuracy: 0.5838 - 655ms/epoch - 5ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.9891 - categorical_accuracy: 0.6893 - val_loss: 0.4021 - val_categorical_accuracy: 0.8585 - 669ms/epoch - 5ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.2974 - categorical_accuracy: 0.8948 - val_loss: 0.3135 - val_categorical_accuracy: 0.8900 - 653ms/epoch - 5ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.2083 - categorical_accuracy: 0.9270 - val_loss: 0.2548 - val_categorical_accuracy: 0.9124 - 670ms/epoch - 5ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1801 - categorical_accuracy: 0.9372 - val_loss: 0.2287 - val_categorical_accuracy: 0.9244 - 687ms/epoch - 5ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1632 - categorical_accuracy: 0.9432 - val_loss: 0.2256 - val_categorical_accuracy: 0.9227 - 671ms/epoch - 5ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.2550 - categorical_accuracy: 0.9230 - val_loss: 0.2048 - val_categorical_accuracy: 0.9300 - 670ms/epoch - 5ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1466 - categorical_accuracy: 0.9498 - val_loss: 0.1828 - val_categorical_accuracy: 0.9387 - 701ms/epoch - 5ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1456 - categorical_accuracy: 0.9497 - val_loss: 0.1960 - val_categorical_accuracy: 0.9337 - 670ms/epoch - 5ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1449 - categorical_accuracy: 0.9499 - val_loss: 0.1894 - val_categorical_accuracy: 0.9363 - 652ms/epoch - 5ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1325 - categorical_accuracy: 0.9543 - val_loss: 0.1946 - val_categorical_accuracy: 0.9349 - 683ms/epoch - 5ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1416 - categorical_accuracy: 0.9509 - val_loss: 0.1858 - val_categorical_accuracy: 0.9382 - 655ms/epoch - 5ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1315 - categorical_accuracy: 0.9547 - val_loss: 0.1817 - val_categorical_accuracy: 0.9383 - 687ms/epoch - 5ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1429 - categorical_accuracy: 0.9511 - val_loss: 0.2387 - val_categorical_accuracy: 0.9194 - 666ms/epoch - 5ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1487 - categorical_accuracy: 0.9502 - val_loss: 0.1910 - val_categorical_accuracy: 0.9372 - 654ms/epoch - 5ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1254 - categorical_accuracy: 0.9566 - val_loss: 0.1972 - val_categorical_accuracy: 0.9358 - 637ms/epoch - 5ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1302 - categorical_accuracy: 0.9547 - val_loss: 0.1928 - val_categorical_accuracy: 0.9338 - 683ms/epoch - 5ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1371 - categorical_accuracy: 0.9535 - val_loss: 0.1958 - val_categorical_accuracy: 0.9381 - 671ms/epoch - 5ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1224 - categorical_accuracy: 0.9581 - val_loss: 0.1818 - val_categorical_accuracy: 0.9385 - 655ms/epoch - 5ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1244 - categorical_accuracy: 0.9569 - val_loss: 0.1950 - val_categorical_accuracy: 0.9349 - 672ms/epoch - 5ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1215 - categorical_accuracy: 0.9581 - val_loss: 0.2455 - val_categorical_accuracy: 0.9156 - 656ms/epoch - 5ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1378 - categorical_accuracy: 0.9545 - val_loss: 0.1852 - val_categorical_accuracy: 0.9393 - 654ms/epoch - 5ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1831 - categorical_accuracy: 0.9442 - val_loss: 0.1745 - val_categorical_accuracy: 0.9403 - 686ms/epoch - 5ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1143 - categorical_accuracy: 0.9610 - val_loss: 0.2496 - val_categorical_accuracy: 0.9185 - 656ms/epoch - 5ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1184 - categorical_accuracy: 0.9593 - val_loss: 0.2011 - val_categorical_accuracy: 0.9368 - 653ms/epoch - 5ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1209 - categorical_accuracy: 0.9582 - val_loss: 0.1826 - val_categorical_accuracy: 0.9391 - 686ms/epoch - 5ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1195 - categorical_accuracy: 0.9588 - val_loss: 0.1777 - val_categorical_accuracy: 0.9428 - 670ms/epoch - 5ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1152 - categorical_accuracy: 0.9605 - val_loss: 0.1872 - val_categorical_accuracy: 0.9391 - 654ms/epoch - 5ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1197 - categorical_accuracy: 0.9595 - val_loss: 0.1897 - val_categorical_accuracy: 0.9374 - 687ms/epoch - 5ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1210 - categorical_accuracy: 0.9581 - val_loss: 0.1806 - val_categorical_accuracy: 0.9414 - 656ms/epoch - 5ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1151 - categorical_accuracy: 0.9608 - val_loss: 0.1834 - val_categorical_accuracy: 0.9406 - 655ms/epoch - 5ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1828 - categorical_accuracy: 0.9447 - val_loss: 0.1682 - val_categorical_accuracy: 0.9453 - 667ms/epoch - 5ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1128 - categorical_accuracy: 0.9617 - val_loss: 0.1770 - val_categorical_accuracy: 0.9419 - 654ms/epoch - 5ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1370 - categorical_accuracy: 0.9560 - val_loss: 0.1650 - val_categorical_accuracy: 0.9459 - 654ms/epoch - 5ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1058 - categorical_accuracy: 0.9638 - val_loss: 0.1730 - val_categorical_accuracy: 0.9446 - 669ms/epoch - 5ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.1132 - categorical_accuracy: 0.9613 - val_loss: 0.1935 - val_categorical_accuracy: 0.9354 - 655ms/epoch - 5ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1041 - categorical_accuracy: 0.9642 - val_loss: 0.1909 - val_categorical_accuracy: 0.9399 - 669ms/epoch - 5ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.1079 - categorical_accuracy: 0.9626 - val_loss: 0.1993 - val_categorical_accuracy: 0.9364 - 684ms/epoch - 5ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1365 - categorical_accuracy: 0.9563 - val_loss: 0.1682 - val_categorical_accuracy: 0.9461 - 672ms/epoch - 5ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.1046 - categorical_accuracy: 0.9643 - val_loss: 0.1945 - val_categorical_accuracy: 0.9351 - 653ms/epoch - 5ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.1186 - categorical_accuracy: 0.9595 - val_loss: 0.1826 - val_categorical_accuracy: 0.9427 - 672ms/epoch - 5ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1105 - categorical_accuracy: 0.9623 - val_loss: 0.1728 - val_categorical_accuracy: 0.9441 - 654ms/epoch - 5ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1061 - categorical_accuracy: 0.9636 - val_loss: 0.3017 - val_categorical_accuracy: 0.9086 - 671ms/epoch - 5ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1033 - categorical_accuracy: 0.9643 - val_loss: 0.1893 - val_categorical_accuracy: 0.9417 - 670ms/epoch - 5ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.1659 - categorical_accuracy: 0.9506 - val_loss: 0.1784 - val_categorical_accuracy: 0.9421 - 656ms/epoch - 5ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9669 - val_loss: 0.1719 - val_categorical_accuracy: 0.9470 - 654ms/epoch - 5ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.1326 - categorical_accuracy: 0.9574 - val_loss: 0.1718 - val_categorical_accuracy: 0.9459 - 684ms/epoch - 5ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.1011 - categorical_accuracy: 0.9652 - val_loss: 0.1666 - val_categorical_accuracy: 0.9471 - 640ms/epoch - 5ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9664 - val_loss: 0.1724 - val_categorical_accuracy: 0.9440 - 651ms/epoch - 5ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.1189 - categorical_accuracy: 0.9602 - val_loss: 0.1777 - val_categorical_accuracy: 0.9430 - 685ms/epoch - 5ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9676 - val_loss: 0.1993 - val_categorical_accuracy: 0.9392 - 671ms/epoch - 5ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.1308 - categorical_accuracy: 0.9564 - val_loss: 0.1747 - val_categorical_accuracy: 0.9461 - 668ms/epoch - 5ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0968 - categorical_accuracy: 0.9670 - val_loss: 0.1758 - val_categorical_accuracy: 0.9458 - 687ms/epoch - 5ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9662 - val_loss: 0.1591 - val_categorical_accuracy: 0.9517 - 655ms/epoch - 5ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0998 - categorical_accuracy: 0.9653 - val_loss: 0.1723 - val_categorical_accuracy: 0.9456 - 670ms/epoch - 5ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0963 - categorical_accuracy: 0.9668 - val_loss: 0.1865 - val_categorical_accuracy: 0.9442 - 685ms/epoch - 5ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0993 - categorical_accuracy: 0.9659 - val_loss: 0.2352 - val_categorical_accuracy: 0.9194 - 672ms/epoch - 5ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.2038 - categorical_accuracy: 0.9439 - val_loss: 0.1815 - val_categorical_accuracy: 0.9445 - 639ms/epoch - 5ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9688 - val_loss: 0.1678 - val_categorical_accuracy: 0.9481 - 680ms/epoch - 5ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0936 - categorical_accuracy: 0.9678 - val_loss: 0.1692 - val_categorical_accuracy: 0.9473 - 653ms/epoch - 5ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.1534 - categorical_accuracy: 0.9541 - val_loss: 0.1844 - val_categorical_accuracy: 0.9397 - 671ms/epoch - 5ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0886 - categorical_accuracy: 0.9701 - val_loss: 0.1635 - val_categorical_accuracy: 0.9505 - 671ms/epoch - 5ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1002 - categorical_accuracy: 0.9657 - val_loss: 0.1752 - val_categorical_accuracy: 0.9451 - 654ms/epoch - 5ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0931 - categorical_accuracy: 0.9681 - val_loss: 0.1660 - val_categorical_accuracy: 0.9496 - 651ms/epoch - 5ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0951 - categorical_accuracy: 0.9672 - val_loss: 0.2277 - val_categorical_accuracy: 0.9309 - 672ms/epoch - 5ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.1360 - categorical_accuracy: 0.9589 - val_loss: 0.1731 - val_categorical_accuracy: 0.9461 - 639ms/epoch - 5ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9701 - val_loss: 0.1790 - val_categorical_accuracy: 0.9461 - 653ms/epoch - 5ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0957 - categorical_accuracy: 0.9674 - val_loss: 0.1749 - val_categorical_accuracy: 0.9458 - 685ms/epoch - 5ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.1162 - categorical_accuracy: 0.9617 - val_loss: 0.1605 - val_categorical_accuracy: 0.9492 - 654ms/epoch - 5ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0914 - categorical_accuracy: 0.9693 - val_loss: 0.1737 - val_categorical_accuracy: 0.9452 - 672ms/epoch - 5ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0912 - categorical_accuracy: 0.9686 - val_loss: 0.1813 - val_categorical_accuracy: 0.9418 - 686ms/epoch - 5ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0908 - categorical_accuracy: 0.9686 - val_loss: 0.1632 - val_categorical_accuracy: 0.9506 - 826ms/epoch - 6ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0916 - categorical_accuracy: 0.9683 - val_loss: 0.1713 - val_categorical_accuracy: 0.9478 - 655ms/epoch - 5ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.1212 - categorical_accuracy: 0.9622 - val_loss: 0.1673 - val_categorical_accuracy: 0.9493 - 669ms/epoch - 5ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.1237 - categorical_accuracy: 0.9611 - val_loss: 0.1642 - val_categorical_accuracy: 0.9487 - 686ms/epoch - 5ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0848 - categorical_accuracy: 0.9712 - val_loss: 0.1729 - val_categorical_accuracy: 0.9466 - 653ms/epoch - 5ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0999 - categorical_accuracy: 0.9663 - val_loss: 0.1776 - val_categorical_accuracy: 0.9463 - 671ms/epoch - 5ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0902 - categorical_accuracy: 0.9690 - val_loss: 0.1562 - val_categorical_accuracy: 0.9528 - 670ms/epoch - 5ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.1020 - categorical_accuracy: 0.9662 - val_loss: 0.1653 - val_categorical_accuracy: 0.9495 - 654ms/epoch - 5ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0816 - categorical_accuracy: 0.9723 - val_loss: 0.1731 - val_categorical_accuracy: 0.9480 - 656ms/epoch - 5ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0974 - categorical_accuracy: 0.9663 - val_loss: 0.2038 - val_categorical_accuracy: 0.9365 - 668ms/epoch - 5ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0842 - categorical_accuracy: 0.9713 - val_loss: 0.1805 - val_categorical_accuracy: 0.9444 - 638ms/epoch - 5ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.1114 - categorical_accuracy: 0.9642 - val_loss: 0.2028 - val_categorical_accuracy: 0.9373 - 671ms/epoch - 5ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9713 - val_loss: 0.1736 - val_categorical_accuracy: 0.9495 - 671ms/epoch - 5ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9683 - val_loss: 0.1699 - val_categorical_accuracy: 0.9503 - 665ms/epoch - 5ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0881 - categorical_accuracy: 0.9696 - val_loss: 0.1663 - val_categorical_accuracy: 0.9518 - 687ms/epoch - 5ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9709 - val_loss: 0.1721 - val_categorical_accuracy: 0.9484 - 668ms/epoch - 5ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.1022 - categorical_accuracy: 0.9659 - val_loss: 0.1685 - val_categorical_accuracy: 0.9487 - 656ms/epoch - 5ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9706 - val_loss: 0.2385 - val_categorical_accuracy: 0.9234 - 687ms/epoch - 5ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.2024 - categorical_accuracy: 0.9435 - val_loss: 0.1635 - val_categorical_accuracy: 0.9492 - 655ms/epoch - 5ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9729 - val_loss: 0.1792 - val_categorical_accuracy: 0.9456 - 639ms/epoch - 5ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9704 - val_loss: 0.1679 - val_categorical_accuracy: 0.9493 - 684ms/epoch - 5ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9706 - val_loss: 0.1593 - val_categorical_accuracy: 0.9524 - 670ms/epoch - 5ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9724 - val_loss: 0.1756 - val_categorical_accuracy: 0.9487 - 652ms/epoch - 5ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9721 - val_loss: 0.1774 - val_categorical_accuracy: 0.9486 - 716ms/epoch - 5ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0827 - categorical_accuracy: 0.9717 - val_loss: 0.1761 - val_categorical_accuracy: 0.9496 - 687ms/epoch - 5ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.1991 - categorical_accuracy: 0.9449 - val_loss: 0.1707 - val_categorical_accuracy: 0.9445 - 656ms/epoch - 5ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9715 - val_loss: 0.1699 - val_categorical_accuracy: 0.9499 - 703ms/epoch - 5ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0780 - categorical_accuracy: 0.9734 - val_loss: 0.1731 - val_categorical_accuracy: 0.9454 - 672ms/epoch - 5ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0795 - categorical_accuracy: 0.9728 - val_loss: 0.1682 - val_categorical_accuracy: 0.9497 - 638ms/epoch - 5ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0840 - categorical_accuracy: 0.9710 - val_loss: 0.1734 - val_categorical_accuracy: 0.9487 - 670ms/epoch - 5ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0793 - categorical_accuracy: 0.9730 - val_loss: 0.1784 - val_categorical_accuracy: 0.9462 - 654ms/epoch - 5ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9667 - val_loss: 0.1659 - val_categorical_accuracy: 0.9505 - 697ms/epoch - 5ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0787 - categorical_accuracy: 0.9731 - val_loss: 0.1703 - val_categorical_accuracy: 0.9490 - 668ms/epoch - 5ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0818 - categorical_accuracy: 0.9722 - val_loss: 0.2105 - val_categorical_accuracy: 0.9323 - 670ms/epoch - 5ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9672 - val_loss: 0.1598 - val_categorical_accuracy: 0.9534 - 652ms/epoch - 5ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0760 - categorical_accuracy: 0.9739 - val_loss: 0.1668 - val_categorical_accuracy: 0.9517 - 652ms/epoch - 5ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0787 - categorical_accuracy: 0.9729 - val_loss: 0.1711 - val_categorical_accuracy: 0.9490 - 669ms/epoch - 5ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.1287 - categorical_accuracy: 0.9611 - val_loss: 0.1733 - val_categorical_accuracy: 0.9453 - 656ms/epoch - 5ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0751 - categorical_accuracy: 0.9745 - val_loss: 0.1711 - val_categorical_accuracy: 0.9495 - 672ms/epoch - 5ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0775 - categorical_accuracy: 0.9733 - val_loss: 0.1762 - val_categorical_accuracy: 0.9481 - 686ms/epoch - 5ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0834 - categorical_accuracy: 0.9717 - val_loss: 0.1665 - val_categorical_accuracy: 0.9511 - 638ms/epoch - 5ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9745 - val_loss: 0.1717 - val_categorical_accuracy: 0.9491 - 667ms/epoch - 5ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.1435 - categorical_accuracy: 0.9583 - val_loss: 0.1604 - val_categorical_accuracy: 0.9503 - 669ms/epoch - 5ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9716 - val_loss: 0.1680 - val_categorical_accuracy: 0.9491 - 651ms/epoch - 5ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9749 - val_loss: 0.1734 - val_categorical_accuracy: 0.9493 - 671ms/epoch - 5ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9757 - val_loss: 0.1754 - val_categorical_accuracy: 0.9458 - 688ms/epoch - 5ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0855 - categorical_accuracy: 0.9705 - val_loss: 0.1636 - val_categorical_accuracy: 0.9513 - 640ms/epoch - 5ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9751 - val_loss: 0.1775 - val_categorical_accuracy: 0.9476 - 670ms/epoch - 5ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0892 - categorical_accuracy: 0.9703 - val_loss: 0.1673 - val_categorical_accuracy: 0.9505 - 668ms/epoch - 5ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.1025 - categorical_accuracy: 0.9672 - val_loss: 0.1604 - val_categorical_accuracy: 0.9510 - 654ms/epoch - 5ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9734 - val_loss: 0.1612 - val_categorical_accuracy: 0.9517 - 669ms/epoch - 5ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0712 - categorical_accuracy: 0.9756 - val_loss: 0.1814 - val_categorical_accuracy: 0.9469 - 688ms/epoch - 5ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0724 - categorical_accuracy: 0.9751 - val_loss: 0.1667 - val_categorical_accuracy: 0.9527 - 639ms/epoch - 5ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.1069 - categorical_accuracy: 0.9660 - val_loss: 0.1975 - val_categorical_accuracy: 0.9409 - 671ms/epoch - 5ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0729 - categorical_accuracy: 0.9750 - val_loss: 0.1641 - val_categorical_accuracy: 0.9515 - 668ms/epoch - 5ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0856 - categorical_accuracy: 0.9712 - val_loss: 0.1590 - val_categorical_accuracy: 0.9535 - 655ms/epoch - 5ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0743 - categorical_accuracy: 0.9747 - val_loss: 0.2187 - val_categorical_accuracy: 0.9359 - 664ms/epoch - 5ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.1190 - categorical_accuracy: 0.9641 - val_loss: 0.1581 - val_categorical_accuracy: 0.9525 - 655ms/epoch - 5ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0710 - categorical_accuracy: 0.9755 - val_loss: 0.1837 - val_categorical_accuracy: 0.9483 - 637ms/epoch - 5ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9765 - val_loss: 0.1697 - val_categorical_accuracy: 0.9512 - 685ms/epoch - 5ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0746 - categorical_accuracy: 0.9743 - val_loss: 0.1685 - val_categorical_accuracy: 0.9513 - 669ms/epoch - 5ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9652 - val_loss: 0.1969 - val_categorical_accuracy: 0.9374 - 656ms/epoch - 5ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9744 - val_loss: 0.1967 - val_categorical_accuracy: 0.9450 - 655ms/epoch - 5ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0705 - categorical_accuracy: 0.9760 - val_loss: 0.1651 - val_categorical_accuracy: 0.9520 - 671ms/epoch - 5ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9767 - val_loss: 0.2411 - val_categorical_accuracy: 0.9334 - 652ms/epoch - 5ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.1102 - categorical_accuracy: 0.9656 - val_loss: 0.1707 - val_categorical_accuracy: 0.9507 - 672ms/epoch - 5ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9765 - val_loss: 0.1736 - val_categorical_accuracy: 0.9513 - 671ms/epoch - 5ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0744 - categorical_accuracy: 0.9744 - val_loss: 0.1774 - val_categorical_accuracy: 0.9493 - 653ms/epoch - 5ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9752 - val_loss: 0.1659 - val_categorical_accuracy: 0.9538 - 665ms/epoch - 5ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9755 - val_loss: 0.9195 - val_categorical_accuracy: 0.8177 - 688ms/epoch - 5ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.1152 - categorical_accuracy: 0.9658 - val_loss: 0.1595 - val_categorical_accuracy: 0.9548 - 640ms/epoch - 5ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9769 - val_loss: 0.1606 - val_categorical_accuracy: 0.9548 - 685ms/epoch - 5ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0732 - categorical_accuracy: 0.9748 - val_loss: 0.1754 - val_categorical_accuracy: 0.9491 - 649ms/epoch - 5ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9736 - val_loss: 0.1652 - val_categorical_accuracy: 0.9517 - 649ms/epoch - 5ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9764 - val_loss: 0.1689 - val_categorical_accuracy: 0.9531 - 679ms/epoch - 5ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9768 - val_loss: 0.1743 - val_categorical_accuracy: 0.9501 - 654ms/epoch - 5ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0705 - categorical_accuracy: 0.9755 - val_loss: 0.2923 - val_categorical_accuracy: 0.9228 - 656ms/epoch - 5ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9702 - val_loss: 0.1658 - val_categorical_accuracy: 0.9517 - 668ms/epoch - 5ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0746 - categorical_accuracy: 0.9744 - val_loss: 0.1899 - val_categorical_accuracy: 0.9456 - 668ms/epoch - 5ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9770 - val_loss: 0.1742 - val_categorical_accuracy: 0.9511 - 648ms/epoch - 5ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9767 - val_loss: 0.1677 - val_categorical_accuracy: 0.9537 - 665ms/epoch - 5ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0697 - categorical_accuracy: 0.9764 - val_loss: 0.1654 - val_categorical_accuracy: 0.9530 - 669ms/epoch - 5ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9758 - val_loss: 0.1785 - val_categorical_accuracy: 0.9491 - 652ms/epoch - 5ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0680 - categorical_accuracy: 0.9767 - val_loss: 0.2903 - val_categorical_accuracy: 0.9195 - 698ms/epoch - 5ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.1070 - categorical_accuracy: 0.9669 - val_loss: 0.1655 - val_categorical_accuracy: 0.9532 - 668ms/epoch - 5ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9781 - val_loss: 0.2112 - val_categorical_accuracy: 0.9390 - 639ms/epoch - 5ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0891 - categorical_accuracy: 0.9705 - val_loss: 0.1769 - val_categorical_accuracy: 0.9480 - 669ms/epoch - 5ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0941 - categorical_accuracy: 0.9706 - val_loss: 0.1798 - val_categorical_accuracy: 0.9470 - 672ms/epoch - 5ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9774 - val_loss: 0.1628 - val_categorical_accuracy: 0.9544 - 654ms/epoch - 5ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9780 - val_loss: 0.1710 - val_categorical_accuracy: 0.9534 - 671ms/epoch - 5ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0850 - categorical_accuracy: 0.9715 - val_loss: 0.1726 - val_categorical_accuracy: 0.9494 - 652ms/epoch - 5ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9773 - val_loss: 0.1709 - val_categorical_accuracy: 0.9541 - 652ms/epoch - 5ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9773 - val_loss: 0.1947 - val_categorical_accuracy: 0.9474 - 684ms/epoch - 5ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9772 - val_loss: 0.1770 - val_categorical_accuracy: 0.9522 - 670ms/epoch - 5ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9771 - val_loss: 0.1740 - val_categorical_accuracy: 0.9540 - 640ms/epoch - 5ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9767 - val_loss: 0.1757 - val_categorical_accuracy: 0.9518 - 684ms/epoch - 5ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9765 - val_loss: 0.2513 - val_categorical_accuracy: 0.9352 - 653ms/epoch - 5ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.1817 - categorical_accuracy: 0.9501 - val_loss: 0.1711 - val_categorical_accuracy: 0.9486 - 653ms/epoch - 5ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9778 - val_loss: 0.1743 - val_categorical_accuracy: 0.9494 - 654ms/epoch - 5ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9751 - val_loss: 0.1719 - val_categorical_accuracy: 0.9526 - 672ms/epoch - 5ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0736 - categorical_accuracy: 0.9748 - val_loss: 0.1726 - val_categorical_accuracy: 0.9520 - 651ms/epoch - 5ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0635 - categorical_accuracy: 0.9781 - val_loss: 0.1691 - val_categorical_accuracy: 0.9527 - 682ms/epoch - 5ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9774 - val_loss: 0.2119 - val_categorical_accuracy: 0.9372 - 671ms/epoch - 5ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9773 - val_loss: 0.2153 - val_categorical_accuracy: 0.9394 - 652ms/epoch - 5ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9763 - val_loss: 0.1848 - val_categorical_accuracy: 0.9499 - 684ms/epoch - 5ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.1648 - categorical_accuracy: 0.9568 - val_loss: 0.1815 - val_categorical_accuracy: 0.9426 - 654ms/epoch - 5ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9753 - val_loss: 0.1670 - val_categorical_accuracy: 0.9524 - 656ms/epoch - 5ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9780 - val_loss: 0.1749 - val_categorical_accuracy: 0.9498 - 687ms/epoch - 5ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9787 - val_loss: 0.1861 - val_categorical_accuracy: 0.9470 - 650ms/epoch - 5ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0651 - categorical_accuracy: 0.9774 - val_loss: 0.1797 - val_categorical_accuracy: 0.9510 - 671ms/epoch - 5ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0852 - categorical_accuracy: 0.9724 - val_loss: 0.1669 - val_categorical_accuracy: 0.9540 - 669ms/epoch - 5ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9781 - val_loss: 0.1802 - val_categorical_accuracy: 0.9500 - 672ms/epoch - 5ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9777 - val_loss: 0.1781 - val_categorical_accuracy: 0.9500 - 650ms/epoch - 5ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9787 - val_loss: 0.1676 - val_categorical_accuracy: 0.9545 - 703ms/epoch - 5ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0967 - categorical_accuracy: 0.9714 - val_loss: 0.1621 - val_categorical_accuracy: 0.9552 - 671ms/epoch - 5ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9792 - val_loss: 0.1656 - val_categorical_accuracy: 0.9543 - 669ms/epoch - 5ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9791 - val_loss: 0.1873 - val_categorical_accuracy: 0.9504 - 701ms/epoch - 5ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9773 - val_loss: 0.2050 - val_categorical_accuracy: 0.9468 - 670ms/epoch - 5ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9786 - val_loss: 0.1732 - val_categorical_accuracy: 0.9536 - 653ms/epoch - 5ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9701 - val_loss: 0.1721 - val_categorical_accuracy: 0.9522 - 685ms/epoch - 5ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0841 - categorical_accuracy: 0.9726 - val_loss: 0.1686 - val_categorical_accuracy: 0.9502 - 652ms/epoch - 5ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9779 - val_loss: 0.1667 - val_categorical_accuracy: 0.9536 - 686ms/epoch - 5ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9789 - val_loss: 0.1723 - val_categorical_accuracy: 0.9524 - 672ms/epoch - 5ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9780 - val_loss: 0.1637 - val_categorical_accuracy: 0.9566 - 671ms/epoch - 5ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9789 - val_loss: 0.1633 - val_categorical_accuracy: 0.9562 - 639ms/epoch - 5ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9790 - val_loss: 0.1807 - val_categorical_accuracy: 0.9534 - 654ms/epoch - 5ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9783 - val_loss: 0.1812 - val_categorical_accuracy: 0.9505 - 685ms/epoch - 5ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.1077 - categorical_accuracy: 0.9681 - val_loss: 0.1692 - val_categorical_accuracy: 0.9543 - 655ms/epoch - 5ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9791 - val_loss: 0.1658 - val_categorical_accuracy: 0.9551 - 687ms/epoch - 5ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9798 - val_loss: 0.1722 - val_categorical_accuracy: 0.9544 - 672ms/epoch - 5ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.1147 - categorical_accuracy: 0.9673 - val_loss: 0.1606 - val_categorical_accuracy: 0.9564 - 639ms/epoch - 5ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9800 - val_loss: 0.1657 - val_categorical_accuracy: 0.9548 - 681ms/epoch - 5ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9792 - val_loss: 0.1850 - val_categorical_accuracy: 0.9507 - 671ms/epoch - 5ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0853 - categorical_accuracy: 0.9725 - val_loss: 0.1717 - val_categorical_accuracy: 0.9528 - 655ms/epoch - 5ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9796 - val_loss: 0.1865 - val_categorical_accuracy: 0.9509 - 654ms/epoch - 5ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9773 - val_loss: 0.1724 - val_categorical_accuracy: 0.9524 - 672ms/epoch - 5ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9796 - val_loss: 0.1935 - val_categorical_accuracy: 0.9465 - 637ms/epoch - 5ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.1000 - categorical_accuracy: 0.9695 - val_loss: 0.1965 - val_categorical_accuracy: 0.9435 - 687ms/epoch - 5ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9789 - val_loss: 0.1651 - val_categorical_accuracy: 0.9542 - 654ms/epoch - 5ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9803 - val_loss: 0.1681 - val_categorical_accuracy: 0.9557 - 652ms/epoch - 5ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9798 - val_loss: 0.1739 - val_categorical_accuracy: 0.9564 - 685ms/epoch - 5ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.1114 - categorical_accuracy: 0.9678 - val_loss: 0.1866 - val_categorical_accuracy: 0.9480 - 668ms/epoch - 5ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9784 - val_loss: 0.1754 - val_categorical_accuracy: 0.9508 - 640ms/epoch - 5ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0579 - categorical_accuracy: 0.9800 - val_loss: 0.1747 - val_categorical_accuracy: 0.9540 - 670ms/epoch - 5ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.1002 - categorical_accuracy: 0.9696 - val_loss: 0.1687 - val_categorical_accuracy: 0.9536 - 671ms/epoch - 5ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9793 - val_loss: 0.1675 - val_categorical_accuracy: 0.9554 - 653ms/epoch - 5ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9806 - val_loss: 0.1728 - val_categorical_accuracy: 0.9544 - 663ms/epoch - 5ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9799 - val_loss: 0.1699 - val_categorical_accuracy: 0.9549 - 667ms/epoch - 5ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9773 - val_loss: 0.1721 - val_categorical_accuracy: 0.9525 - 637ms/epoch - 5ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9795 - val_loss: 0.1730 - val_categorical_accuracy: 0.9545 - 685ms/epoch - 5ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9796 - val_loss: 0.1721 - val_categorical_accuracy: 0.9560 - 654ms/epoch - 5ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0814 - categorical_accuracy: 0.9749 - val_loss: 0.9191 - val_categorical_accuracy: 0.7995 - 654ms/epoch - 5ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0801 - categorical_accuracy: 0.9736 - val_loss: 0.1602 - val_categorical_accuracy: 0.9579 - 668ms/epoch - 5ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9804 - val_loss: 0.1673 - val_categorical_accuracy: 0.9552 - 687ms/epoch - 5ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9805 - val_loss: 0.1743 - val_categorical_accuracy: 0.9515 - 667ms/epoch - 5ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9799 - val_loss: 0.1713 - val_categorical_accuracy: 0.9555 - 685ms/epoch - 5ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.1093 - categorical_accuracy: 0.9692 - val_loss: 0.1910 - val_categorical_accuracy: 0.9417 - 672ms/epoch - 5ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9779 - val_loss: 0.1778 - val_categorical_accuracy: 0.9520 - 653ms/epoch - 5ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9797 - val_loss: 0.1577 - val_categorical_accuracy: 0.9590 - 681ms/epoch - 5ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9800 - val_loss: 0.1762 - val_categorical_accuracy: 0.9540 - 683ms/epoch - 5ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9797 - val_loss: 0.1698 - val_categorical_accuracy: 0.9553 - 637ms/epoch - 5ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9706 - val_loss: 0.1748 - val_categorical_accuracy: 0.9539 - 671ms/epoch - 5ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9807 - val_loss: 0.1688 - val_categorical_accuracy: 0.9573 - 668ms/epoch - 5ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9803 - val_loss: 0.1647 - val_categorical_accuracy: 0.9580 - 668ms/epoch - 5ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9803 - val_loss: 0.1870 - val_categorical_accuracy: 0.9503 - 684ms/epoch - 5ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9800 - val_loss: 0.1782 - val_categorical_accuracy: 0.9522 - 663ms/epoch - 5ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0890 - categorical_accuracy: 0.9718 - val_loss: 0.1630 - val_categorical_accuracy: 0.9560 - 636ms/epoch - 5ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9804 - val_loss: 0.2945 - val_categorical_accuracy: 0.9234 - 682ms/epoch - 5ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0962 - categorical_accuracy: 0.9709 - val_loss: 0.1749 - val_categorical_accuracy: 0.9533 - 671ms/epoch - 5ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9808 - val_loss: 0.1628 - val_categorical_accuracy: 0.9571 - 654ms/epoch - 5ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9795 - val_loss: 0.1652 - val_categorical_accuracy: 0.9574 - 687ms/epoch - 5ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9803 - val_loss: 0.1916 - val_categorical_accuracy: 0.9486 - 671ms/epoch - 5ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9802 - val_loss: 0.1852 - val_categorical_accuracy: 0.9516 - 638ms/epoch - 5ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.1035 - categorical_accuracy: 0.9693 - val_loss: 0.1604 - val_categorical_accuracy: 0.9554 - 684ms/epoch - 5ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9807 - val_loss: 0.1679 - val_categorical_accuracy: 0.9556 - 670ms/epoch - 5ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9817 - val_loss: 0.1722 - val_categorical_accuracy: 0.9556 - 656ms/epoch - 5ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9796 - val_loss: 0.1984 - val_categorical_accuracy: 0.9462 - 668ms/epoch - 5ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9802 - val_loss: 0.1848 - val_categorical_accuracy: 0.9495 - 667ms/epoch - 5ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9807 - val_loss: 0.1760 - val_categorical_accuracy: 0.9558 - 639ms/epoch - 5ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9774 - val_loss: 1.8541 - val_categorical_accuracy: 0.6973 - 698ms/epoch - 5ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0982 - categorical_accuracy: 0.9701 - val_loss: 0.1725 - val_categorical_accuracy: 0.9540 - 663ms/epoch - 5ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9809 - val_loss: 0.1708 - val_categorical_accuracy: 0.9542 - 654ms/epoch - 5ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9807 - val_loss: 0.1711 - val_categorical_accuracy: 0.9553 - 685ms/epoch - 5ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9815 - val_loss: 0.1817 - val_categorical_accuracy: 0.9538 - 686ms/epoch - 5ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9797 - val_loss: 0.1904 - val_categorical_accuracy: 0.9499 - 639ms/epoch - 5ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.1898 - categorical_accuracy: 0.9506 - val_loss: 0.1581 - val_categorical_accuracy: 0.9555 - 652ms/epoch - 5ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9799 - val_loss: 0.1604 - val_categorical_accuracy: 0.9573 - 669ms/epoch - 5ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9808 - val_loss: 0.1651 - val_categorical_accuracy: 0.9567 - 655ms/epoch - 5ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9812 - val_loss: 0.1826 - val_categorical_accuracy: 0.9519 - 670ms/epoch - 5ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9805 - val_loss: 0.1705 - val_categorical_accuracy: 0.9568 - 670ms/epoch - 5ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9808 - val_loss: 0.1871 - val_categorical_accuracy: 0.9525 - 637ms/epoch - 5ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9811 - val_loss: 0.1696 - val_categorical_accuracy: 0.9548 - 670ms/epoch - 5ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9800 - val_loss: 0.1836 - val_categorical_accuracy: 0.9532 - 669ms/epoch - 5ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9811 - val_loss: 0.1787 - val_categorical_accuracy: 0.9540 - 639ms/epoch - 5ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0777 - categorical_accuracy: 0.9756 - val_loss: 0.1978 - val_categorical_accuracy: 0.9463 - 671ms/epoch - 5ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9799 - val_loss: 0.1621 - val_categorical_accuracy: 0.9593 - 671ms/epoch - 5ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9780 - val_loss: 0.1784 - val_categorical_accuracy: 0.9537 - 656ms/epoch - 5ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9814 - val_loss: 0.1983 - val_categorical_accuracy: 0.9509 - 683ms/epoch - 5ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9812 - val_loss: 0.1773 - val_categorical_accuracy: 0.9550 - 669ms/epoch - 5ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9810 - val_loss: 0.2100 - val_categorical_accuracy: 0.9457 - 653ms/epoch - 5ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9799 - val_loss: 0.2031 - val_categorical_accuracy: 0.9497 - 669ms/epoch - 5ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9814 - val_loss: 0.1913 - val_categorical_accuracy: 0.9538 - 701ms/epoch - 5ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9812 - val_loss: 0.1973 - val_categorical_accuracy: 0.9514 - 637ms/epoch - 5ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0578 - categorical_accuracy: 0.9798 - val_loss: 0.1855 - val_categorical_accuracy: 0.9535 - 703ms/epoch - 5ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9800 - val_loss: 0.1976 - val_categorical_accuracy: 0.9521 - 686ms/epoch - 5ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9813 - val_loss: 0.1821 - val_categorical_accuracy: 0.9541 - 668ms/epoch - 5ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0613 - categorical_accuracy: 0.9785 - val_loss: 0.2044 - val_categorical_accuracy: 0.9509 - 683ms/epoch - 5ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9805 - val_loss: 0.1857 - val_categorical_accuracy: 0.9540 - 686ms/epoch - 5ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9802 - val_loss: 0.1849 - val_categorical_accuracy: 0.9542 - 650ms/epoch - 5ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9812 - val_loss: 0.2002 - val_categorical_accuracy: 0.9498 - 670ms/epoch - 5ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.1240 - categorical_accuracy: 0.9660 - val_loss: 0.1667 - val_categorical_accuracy: 0.9569 - 688ms/epoch - 5ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9812 - val_loss: 0.1673 - val_categorical_accuracy: 0.9574 - 654ms/epoch - 5ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9819 - val_loss: 0.1908 - val_categorical_accuracy: 0.9510 - 655ms/epoch - 5ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9796 - val_loss: 0.1897 - val_categorical_accuracy: 0.9499 - 671ms/epoch - 5ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9811 - val_loss: 0.1802 - val_categorical_accuracy: 0.9555 - 653ms/epoch - 5ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9812 - val_loss: 0.1797 - val_categorical_accuracy: 0.9545 - 668ms/epoch - 5ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9809 - val_loss: 0.1884 - val_categorical_accuracy: 0.9543 - 653ms/epoch - 5ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9814 - val_loss: 0.1874 - val_categorical_accuracy: 0.9532 - 655ms/epoch - 5ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9806 - val_loss: 0.1862 - val_categorical_accuracy: 0.9549 - 668ms/epoch - 5ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0787 - categorical_accuracy: 0.9749 - val_loss: 0.1796 - val_categorical_accuracy: 0.9517 - 667ms/epoch - 5ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0558 - categorical_accuracy: 0.9807 - val_loss: 0.1779 - val_categorical_accuracy: 0.9556 - 652ms/epoch - 5ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9819 - val_loss: 0.1817 - val_categorical_accuracy: 0.9553 - 669ms/epoch - 5ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9823 - val_loss: 0.1863 - val_categorical_accuracy: 0.9533 - 669ms/epoch - 5ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9744 - val_loss: 0.4780 - val_categorical_accuracy: 0.8759 - 655ms/epoch - 5ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9775 - val_loss: 0.1678 - val_categorical_accuracy: 0.9566 - 656ms/epoch - 5ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9820 - val_loss: 0.1838 - val_categorical_accuracy: 0.9532 - 683ms/epoch - 5ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9814 - val_loss: 0.1745 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9811 - val_loss: 0.1828 - val_categorical_accuracy: 0.9541 - 687ms/epoch - 5ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9815 - val_loss: 0.1946 - val_categorical_accuracy: 0.9521 - 668ms/epoch - 5ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9804 - val_loss: 0.1862 - val_categorical_accuracy: 0.9547 - 638ms/epoch - 5ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9816 - val_loss: 0.1818 - val_categorical_accuracy: 0.9554 - 655ms/epoch - 5ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9804 - val_loss: 0.2125 - val_categorical_accuracy: 0.9461 - 671ms/epoch - 5ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.1544 - categorical_accuracy: 0.9590 - val_loss: 0.1970 - val_categorical_accuracy: 0.9431 - 640ms/epoch - 5ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9783 - val_loss: 0.1731 - val_categorical_accuracy: 0.9553 - 671ms/epoch - 5ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9817 - val_loss: 0.1773 - val_categorical_accuracy: 0.9565 - 671ms/epoch - 5ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9819 - val_loss: 0.1857 - val_categorical_accuracy: 0.9545 - 655ms/epoch - 5ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9817 - val_loss: 0.1879 - val_categorical_accuracy: 0.9553 - 669ms/epoch - 5ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9818 - val_loss: 0.1782 - val_categorical_accuracy: 0.9553 - 681ms/epoch - 5ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9820 - val_loss: 0.1808 - val_categorical_accuracy: 0.9556 - 636ms/epoch - 5ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9813 - val_loss: 0.1882 - val_categorical_accuracy: 0.9536 - 691ms/epoch - 5ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9819 - val_loss: 0.1777 - val_categorical_accuracy: 0.9570 - 669ms/epoch - 5ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9812 - val_loss: 0.1921 - val_categorical_accuracy: 0.9525 - 656ms/epoch - 5ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.1888 - val_categorical_accuracy: 0.9554 - 671ms/epoch - 5ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9820 - val_loss: 0.1918 - val_categorical_accuracy: 0.9531 - 669ms/epoch - 5ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9820 - val_loss: 0.1952 - val_categorical_accuracy: 0.9549 - 651ms/epoch - 5ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0955 - categorical_accuracy: 0.9709 - val_loss: 0.1729 - val_categorical_accuracy: 0.9564 - 685ms/epoch - 5ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9818 - val_loss: 0.1908 - val_categorical_accuracy: 0.9522 - 669ms/epoch - 5ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9802 - val_loss: 0.1739 - val_categorical_accuracy: 0.9594 - 651ms/epoch - 5ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9825 - val_loss: 0.1793 - val_categorical_accuracy: 0.9569 - 671ms/epoch - 5ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9826 - val_loss: 0.2095 - val_categorical_accuracy: 0.9500 - 670ms/epoch - 5ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9814 - val_loss: 0.2035 - val_categorical_accuracy: 0.9493 - 637ms/epoch - 5ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.1379 - categorical_accuracy: 0.9631 - val_loss: 0.1809 - val_categorical_accuracy: 0.9516 - 668ms/epoch - 5ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9816 - val_loss: 0.1725 - val_categorical_accuracy: 0.9587 - 654ms/epoch - 5ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0778 - categorical_accuracy: 0.9756 - val_loss: 0.1670 - val_categorical_accuracy: 0.9571 - 654ms/epoch - 5ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9822 - val_loss: 0.1775 - val_categorical_accuracy: 0.9560 - 686ms/epoch - 5ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9822 - val_loss: 0.1921 - val_categorical_accuracy: 0.9517 - 666ms/epoch - 5ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9766 - val_loss: 0.1802 - val_categorical_accuracy: 0.9542 - 638ms/epoch - 5ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.1823 - val_categorical_accuracy: 0.9561 - 671ms/epoch - 5ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9825 - val_loss: 0.1902 - val_categorical_accuracy: 0.9530 - 671ms/epoch - 5ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9826 - val_loss: 0.1844 - val_categorical_accuracy: 0.9572 - 657ms/epoch - 5ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9823 - val_loss: 0.1922 - val_categorical_accuracy: 0.9566 - 671ms/epoch - 5ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9816 - val_loss: 0.2054 - val_categorical_accuracy: 0.9507 - 668ms/epoch - 5ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9820 - val_loss: 0.1872 - val_categorical_accuracy: 0.9549 - 654ms/epoch - 5ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0749 - categorical_accuracy: 0.9758 - val_loss: 0.1747 - val_categorical_accuracy: 0.9568 - 687ms/epoch - 5ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9823 - val_loss: 0.1890 - val_categorical_accuracy: 0.9543 - 655ms/epoch - 5ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0868 - categorical_accuracy: 0.9731 - val_loss: 0.1664 - val_categorical_accuracy: 0.9568 - 653ms/epoch - 5ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9826 - val_loss: 0.1753 - val_categorical_accuracy: 0.9565 - 669ms/epoch - 5ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9825 - val_loss: 0.1825 - val_categorical_accuracy: 0.9563 - 685ms/epoch - 5ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9814 - val_loss: 0.1782 - val_categorical_accuracy: 0.9569 - 654ms/epoch - 5ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9825 - val_loss: 0.1998 - val_categorical_accuracy: 0.9511 - 669ms/epoch - 5ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9818 - val_loss: 0.1891 - val_categorical_accuracy: 0.9508 - 652ms/epoch - 5ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.1822 - val_categorical_accuracy: 0.9564 - 657ms/epoch - 5ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.1783 - val_categorical_accuracy: 0.9587 - 684ms/epoch - 5ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9783 - val_loss: 0.4481 - val_categorical_accuracy: 0.9011 - 669ms/epoch - 5ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9791 - val_loss: 0.1857 - val_categorical_accuracy: 0.9550 - 640ms/epoch - 5ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1901 - val_categorical_accuracy: 0.9521 - 668ms/epoch - 5ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9818 - val_loss: 0.1836 - val_categorical_accuracy: 0.9583 - 670ms/epoch - 5ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9831 - val_loss: 0.1805 - val_categorical_accuracy: 0.9577 - 655ms/epoch - 5ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9821 - val_loss: 0.1933 - val_categorical_accuracy: 0.9565 - 667ms/epoch - 5ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9820 - val_loss: 0.1918 - val_categorical_accuracy: 0.9532 - 653ms/epoch - 5ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9821 - val_loss: 0.1759 - val_categorical_accuracy: 0.9583 - 638ms/epoch - 5ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0812 - categorical_accuracy: 0.9765 - val_loss: 0.2774 - val_categorical_accuracy: 0.9217 - 671ms/epoch - 5ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9801 - val_loss: 0.1765 - val_categorical_accuracy: 0.9578 - 670ms/epoch - 5ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.2022 - val_categorical_accuracy: 0.9502 - 667ms/epoch - 5ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9823 - val_loss: 0.1838 - val_categorical_accuracy: 0.9567 - 682ms/epoch - 5ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9829 - val_loss: 0.1889 - val_categorical_accuracy: 0.9544 - 650ms/epoch - 5ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9817 - val_loss: 0.2022 - val_categorical_accuracy: 0.9500 - 652ms/epoch - 5ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9825 - val_loss: 0.1900 - val_categorical_accuracy: 0.9551 - 686ms/epoch - 5ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.1811 - val_categorical_accuracy: 0.9587 - 653ms/epoch - 5ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9811 - val_loss: 0.1854 - val_categorical_accuracy: 0.9553 - 639ms/epoch - 5ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9831 - val_loss: 0.1816 - val_categorical_accuracy: 0.9582 - 670ms/epoch - 5ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9726 - val_loss: 0.1737 - val_categorical_accuracy: 0.9570 - 672ms/epoch - 5ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9832 - val_loss: 0.1761 - val_categorical_accuracy: 0.9578 - 667ms/epoch - 5ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9829 - val_loss: 0.1866 - val_categorical_accuracy: 0.9555 - 702ms/epoch - 5ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9831 - val_loss: 0.1877 - val_categorical_accuracy: 0.9553 - 685ms/epoch - 5ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9825 - val_loss: 0.2010 - val_categorical_accuracy: 0.9512 - 672ms/epoch - 5ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9816 - val_loss: 0.1876 - val_categorical_accuracy: 0.9548 - 669ms/epoch - 5ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9825 - val_loss: 0.2147 - val_categorical_accuracy: 0.9468 - 656ms/epoch - 5ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0835 - categorical_accuracy: 0.9749 - val_loss: 0.1845 - val_categorical_accuracy: 0.9547 - 653ms/epoch - 5ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9833 - val_loss: 0.1798 - val_categorical_accuracy: 0.9573 - 671ms/epoch - 5ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9833 - val_loss: 0.2006 - val_categorical_accuracy: 0.9515 - 671ms/epoch - 5ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9825 - val_loss: 0.1856 - val_categorical_accuracy: 0.9569 - 668ms/epoch - 5ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9833 - val_loss: 0.1946 - val_categorical_accuracy: 0.9528 - 667ms/epoch - 5ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9818 - val_loss: 0.1887 - val_categorical_accuracy: 0.9564 - 650ms/epoch - 5ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9830 - val_loss: 0.1965 - val_categorical_accuracy: 0.9530 - 652ms/epoch - 5ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9830 - val_loss: 0.2164 - val_categorical_accuracy: 0.9503 - 685ms/epoch - 5ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9826 - val_loss: 0.1912 - val_categorical_accuracy: 0.9555 - 656ms/epoch - 5ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.2000 - categorical_accuracy: 0.9478 - val_loss: 0.1720 - val_categorical_accuracy: 0.9535 - 655ms/epoch - 5ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9814 - val_loss: 0.1771 - val_categorical_accuracy: 0.9536 - 682ms/epoch - 5ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9828 - val_loss: 0.1924 - val_categorical_accuracy: 0.9533 - 670ms/epoch - 5ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9832 - val_loss: 0.2049 - val_categorical_accuracy: 0.9507 - 655ms/epoch - 5ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9816 - val_loss: 0.1921 - val_categorical_accuracy: 0.9550 - 671ms/epoch - 5ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9835 - val_loss: 0.1745 - val_categorical_accuracy: 0.9589 - 656ms/epoch - 5ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9795 - val_loss: 0.1886 - val_categorical_accuracy: 0.9527 - 655ms/epoch - 5ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9830 - val_loss: 0.1764 - val_categorical_accuracy: 0.9591 - 671ms/epoch - 5ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9835 - val_loss: 0.1858 - val_categorical_accuracy: 0.9547 - 671ms/epoch - 5ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.1318 - categorical_accuracy: 0.9654 - val_loss: 0.1908 - val_categorical_accuracy: 0.9437 - 651ms/epoch - 5ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9814 - val_loss: 0.1770 - val_categorical_accuracy: 0.9569 - 688ms/epoch - 5ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.1844 - val_categorical_accuracy: 0.9562 - 668ms/epoch - 5ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.2144 - val_categorical_accuracy: 0.9502 - 655ms/epoch - 5ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9833 - val_loss: 0.1830 - val_categorical_accuracy: 0.9550 - 655ms/epoch - 5ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9823 - val_loss: 0.2006 - val_categorical_accuracy: 0.9516 - 670ms/epoch - 5ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9831 - val_loss: 0.2034 - val_categorical_accuracy: 0.9533 - 651ms/epoch - 5ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9830 - val_loss: 0.2125 - val_categorical_accuracy: 0.9491 - 672ms/epoch - 5ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9833 - val_loss: 0.2097 - val_categorical_accuracy: 0.9519 - 668ms/epoch - 5ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.1931 - val_categorical_accuracy: 0.9542 - 665ms/epoch - 5ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.1817 - val_categorical_accuracy: 0.9572 - 666ms/epoch - 5ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9832 - val_loss: 0.2036 - val_categorical_accuracy: 0.9543 - 669ms/epoch - 5ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.1940 - val_categorical_accuracy: 0.9566 - 638ms/epoch - 5ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9827 - val_loss: 0.2114 - val_categorical_accuracy: 0.9500 - 700ms/epoch - 5ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9820 - val_loss: 0.1951 - val_categorical_accuracy: 0.9554 - 656ms/epoch - 5ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9826 - val_loss: 0.2016 - val_categorical_accuracy: 0.9534 - 653ms/epoch - 5ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.1433 - categorical_accuracy: 0.9636 - val_loss: 0.1869 - val_categorical_accuracy: 0.9477 - 684ms/epoch - 5ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9815 - val_loss: 0.1853 - val_categorical_accuracy: 0.9533 - 655ms/epoch - 5ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9836 - val_loss: 0.1809 - val_categorical_accuracy: 0.9583 - 655ms/epoch - 5ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9835 - val_loss: 0.1847 - val_categorical_accuracy: 0.9572 - 671ms/epoch - 5ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9825 - val_loss: 0.1853 - val_categorical_accuracy: 0.9551 - 655ms/epoch - 5ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1875 - val_categorical_accuracy: 0.9551 - 653ms/epoch - 5ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.1888 - val_categorical_accuracy: 0.9566 - 686ms/epoch - 5ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9830 - val_loss: 0.1859 - val_categorical_accuracy: 0.9553 - 649ms/epoch - 5ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.1789 - val_categorical_accuracy: 0.9600 - 655ms/epoch - 5ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9831 - val_loss: 0.1860 - val_categorical_accuracy: 0.9566 - 655ms/epoch - 5ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9835 - val_loss: 0.2293 - val_categorical_accuracy: 0.9483 - 654ms/epoch - 5ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9826 - val_loss: 0.2207 - val_categorical_accuracy: 0.9457 - 668ms/epoch - 5ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9807 - val_loss: 0.1897 - val_categorical_accuracy: 0.9570 - 664ms/epoch - 5ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9835 - val_loss: 0.1919 - val_categorical_accuracy: 0.9552 - 666ms/epoch - 5ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.2053 - val_categorical_accuracy: 0.9522 - 650ms/epoch - 5ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.2023 - val_categorical_accuracy: 0.9538 - 683ms/epoch - 5ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9831 - val_loss: 0.2609 - val_categorical_accuracy: 0.9371 - 670ms/epoch - 5ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.1867 - categorical_accuracy: 0.9497 - val_loss: 0.1835 - val_categorical_accuracy: 0.9518 - 656ms/epoch - 5ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9832 - val_loss: 0.1788 - val_categorical_accuracy: 0.9571 - 670ms/epoch - 5ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9838 - val_loss: 0.1911 - val_categorical_accuracy: 0.9557 - 656ms/epoch - 5ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1787 - val_categorical_accuracy: 0.9568 - 654ms/epoch - 5ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9832 - val_loss: 0.1976 - val_categorical_accuracy: 0.9541 - 685ms/epoch - 5ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9837 - val_loss: 0.1741 - val_categorical_accuracy: 0.9598 - 656ms/epoch - 5ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1976 - val_categorical_accuracy: 0.9543 - 653ms/epoch - 5ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1869 - val_categorical_accuracy: 0.9567 - 668ms/epoch - 5ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9840 - val_loss: 0.1971 - val_categorical_accuracy: 0.9543 - 653ms/epoch - 5ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9836 - val_loss: 0.1879 - val_categorical_accuracy: 0.9575 - 654ms/epoch - 5ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9832 - val_loss: 0.1951 - val_categorical_accuracy: 0.9538 - 669ms/epoch - 5ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9827 - val_loss: 0.2153 - val_categorical_accuracy: 0.9497 - 656ms/epoch - 5ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9831 - val_loss: 0.1991 - val_categorical_accuracy: 0.9543 - 656ms/epoch - 5ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.1989 - val_categorical_accuracy: 0.9550 - 687ms/epoch - 5ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.2047 - val_categorical_accuracy: 0.9531 - 656ms/epoch - 5ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9829 - val_loss: 0.1863 - val_categorical_accuracy: 0.9569 - 655ms/epoch - 5ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9826 - val_loss: 0.1839 - val_categorical_accuracy: 0.9583 - 686ms/epoch - 5ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9832 - val_loss: 0.1864 - val_categorical_accuracy: 0.9583 - 653ms/epoch - 5ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9832 - val_loss: 0.2075 - val_categorical_accuracy: 0.9544 - 667ms/epoch - 5ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9832 - val_loss: 0.2087 - val_categorical_accuracy: 0.9524 - 671ms/epoch - 5ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1899 - val_categorical_accuracy: 0.9574 - 649ms/epoch - 5ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.1013 - categorical_accuracy: 0.9725 - val_loss: 0.1961 - val_categorical_accuracy: 0.9457 - 650ms/epoch - 5ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9815 - val_loss: 0.1830 - val_categorical_accuracy: 0.9573 - 663ms/epoch - 5ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9844 - val_loss: 0.1867 - val_categorical_accuracy: 0.9578 - 654ms/epoch - 5ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9845 - val_loss: 0.1936 - val_categorical_accuracy: 0.9572 - 671ms/epoch - 5ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9841 - val_loss: 0.1875 - val_categorical_accuracy: 0.9578 - 655ms/epoch - 5ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.1980 - val_categorical_accuracy: 0.9548 - 654ms/epoch - 5ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9839 - val_loss: 0.1953 - val_categorical_accuracy: 0.9566 - 651ms/epoch - 5ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9817 - val_loss: 0.1914 - val_categorical_accuracy: 0.9573 - 671ms/epoch - 5ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9831 - val_loss: 0.1926 - val_categorical_accuracy: 0.9567 - 640ms/epoch - 5ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.1164 - categorical_accuracy: 0.9694 - val_loss: 0.1870 - val_categorical_accuracy: 0.9465 - 670ms/epoch - 5ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9817 - val_loss: 0.1898 - val_categorical_accuracy: 0.9557 - 669ms/epoch - 5ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9845 - val_loss: 0.1931 - val_categorical_accuracy: 0.9541 - 656ms/epoch - 5ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9842 - val_loss: 0.1809 - val_categorical_accuracy: 0.9587 - 669ms/epoch - 5ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.1933 - val_categorical_accuracy: 0.9549 - 670ms/epoch - 5ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9839 - val_loss: 0.1886 - val_categorical_accuracy: 0.9568 - 654ms/epoch - 5ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.1986 - val_categorical_accuracy: 0.9557 - 685ms/epoch - 5ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9838 - val_loss: 0.2213 - val_categorical_accuracy: 0.9494 - 702ms/epoch - 5ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0683 - categorical_accuracy: 0.9778 - val_loss: 0.1888 - val_categorical_accuracy: 0.9540 - 652ms/epoch - 5ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1884 - val_categorical_accuracy: 0.9583 - 671ms/epoch - 5ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9844 - val_loss: 0.1985 - val_categorical_accuracy: 0.9558 - 663ms/epoch - 5ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9845 - val_loss: 0.2089 - val_categorical_accuracy: 0.9509 - 637ms/epoch - 5ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9829 - val_loss: 0.2024 - val_categorical_accuracy: 0.9551 - 703ms/epoch - 5ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.1894 - val_categorical_accuracy: 0.9578 - 671ms/epoch - 5ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9836 - val_loss: 0.2057 - val_categorical_accuracy: 0.9560 - 648ms/epoch - 5ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1988 - val_categorical_accuracy: 0.9563 - 651ms/epoch - 5ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1909 - val_categorical_accuracy: 0.9585 - 685ms/epoch - 5ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9833 - val_loss: 0.1903 - val_categorical_accuracy: 0.9594 - 654ms/epoch - 5ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0928 - categorical_accuracy: 0.9733 - val_loss: 0.1773 - val_categorical_accuracy: 0.9570 - 671ms/epoch - 5ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.2125 - val_categorical_accuracy: 0.9491 - 669ms/epoch - 5ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9842 - val_loss: 0.1949 - val_categorical_accuracy: 0.9539 - 638ms/epoch - 5ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.1936 - val_categorical_accuracy: 0.9579 - 654ms/epoch - 5ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.1921 - val_categorical_accuracy: 0.9567 - 671ms/epoch - 5ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9847 - val_loss: 0.1959 - val_categorical_accuracy: 0.9571 - 639ms/epoch - 5ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9847 - val_loss: 0.1972 - val_categorical_accuracy: 0.9574 - 670ms/epoch - 5ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.1028 - categorical_accuracy: 0.9721 - val_loss: 0.1761 - val_categorical_accuracy: 0.9569 - 655ms/epoch - 5ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.1793 - val_categorical_accuracy: 0.9585 - 656ms/epoch - 5ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9850 - val_loss: 0.2138 - val_categorical_accuracy: 0.9521 - 666ms/epoch - 5ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.2057 - val_categorical_accuracy: 0.9540 - 661ms/epoch - 5ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.1966 - val_categorical_accuracy: 0.9575 - 637ms/epoch - 5ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.1928 - val_categorical_accuracy: 0.9552 - 665ms/epoch - 5ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.2069 - val_categorical_accuracy: 0.9551 - 670ms/epoch - 5ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9836 - val_loss: 0.1986 - val_categorical_accuracy: 0.9537 - 656ms/epoch - 5ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.2807 - val_categorical_accuracy: 0.9322 - 669ms/epoch - 5ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.3103 - categorical_accuracy: 0.9178 - val_loss: 0.1797 - val_categorical_accuracy: 0.9538 - 654ms/epoch - 5ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9806 - val_loss: 0.1954 - val_categorical_accuracy: 0.9526 - 657ms/epoch - 5ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9830 - val_loss: 0.1754 - val_categorical_accuracy: 0.9603 - 686ms/epoch - 5ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9837 - val_loss: 0.1910 - val_categorical_accuracy: 0.9567 - 651ms/epoch - 5ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9835 - val_loss: 0.1893 - val_categorical_accuracy: 0.9548 - 653ms/epoch - 5ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9838 - val_loss: 0.1799 - val_categorical_accuracy: 0.9591 - 685ms/epoch - 5ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1832 - val_categorical_accuracy: 0.9575 - 671ms/epoch - 5ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1972 - val_categorical_accuracy: 0.9563 - 635ms/epoch - 5ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9843 - val_loss: 0.2315 - val_categorical_accuracy: 0.9473 - 685ms/epoch - 5ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.1991 - val_categorical_accuracy: 0.9569 - 656ms/epoch - 5ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9820 - val_loss: 0.1893 - val_categorical_accuracy: 0.9578 - 655ms/epoch - 5ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1875 - val_categorical_accuracy: 0.9589 - 685ms/epoch - 5ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1923 - val_categorical_accuracy: 0.9580 - 670ms/epoch - 5ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.2070 - val_categorical_accuracy: 0.9564 - 639ms/epoch - 5ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.2015 - val_categorical_accuracy: 0.9538 - 687ms/epoch - 5ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9837 - val_loss: 0.2031 - val_categorical_accuracy: 0.9544 - 653ms/epoch - 5ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9776 - val_loss: 0.1908 - val_categorical_accuracy: 0.9547 - 655ms/epoch - 5ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.2122 - val_categorical_accuracy: 0.9544 - 668ms/epoch - 5ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1878 - val_categorical_accuracy: 0.9585 - 655ms/epoch - 5ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9844 - val_loss: 0.1979 - val_categorical_accuracy: 0.9579 - 655ms/epoch - 5ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9842 - val_loss: 0.2043 - val_categorical_accuracy: 0.9551 - 687ms/epoch - 5ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9844 - val_loss: 0.1999 - val_categorical_accuracy: 0.9568 - 656ms/epoch - 5ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9840 - val_loss: 0.1965 - val_categorical_accuracy: 0.9552 - 652ms/epoch - 5ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.1944 - val_categorical_accuracy: 0.9595 - 667ms/epoch - 5ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.2032 - val_categorical_accuracy: 0.9573 - 656ms/epoch - 5ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9836 - val_loss: 0.1938 - val_categorical_accuracy: 0.9582 - 656ms/epoch - 5ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9836 - val_loss: 0.2048 - val_categorical_accuracy: 0.9551 - 671ms/epoch - 5ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0829 - categorical_accuracy: 0.9741 - val_loss: 0.1878 - val_categorical_accuracy: 0.9563 - 655ms/epoch - 5ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1942 - val_categorical_accuracy: 0.9574 - 651ms/epoch - 5ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9844 - val_loss: 0.1895 - val_categorical_accuracy: 0.9582 - 670ms/epoch - 5ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.1897 - val_categorical_accuracy: 0.9581 - 667ms/epoch - 5ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9839 - val_loss: 0.1972 - val_categorical_accuracy: 0.9569 - 640ms/epoch - 5ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.1941 - val_categorical_accuracy: 0.9571 - 671ms/epoch - 5ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9837 - val_loss: 0.2029 - val_categorical_accuracy: 0.9528 - 654ms/epoch - 5ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9838 - val_loss: 0.1886 - val_categorical_accuracy: 0.9592 - 650ms/epoch - 5ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.2055 - val_categorical_accuracy: 0.9542 - 681ms/epoch - 5ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9749 - val_loss: 0.1804 - val_categorical_accuracy: 0.9564 - 650ms/epoch - 5ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9841 - val_loss: 0.1904 - val_categorical_accuracy: 0.9588 - 653ms/epoch - 5ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1943 - val_categorical_accuracy: 0.9570 - 684ms/epoch - 5ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9827 - val_loss: 0.1843 - val_categorical_accuracy: 0.9588 - 655ms/epoch - 5ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1922 - val_categorical_accuracy: 0.9562 - 666ms/epoch - 5ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.1989 - val_categorical_accuracy: 0.9562 - 671ms/epoch - 5ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1934 - val_categorical_accuracy: 0.9578 - 656ms/epoch - 5ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9815 - val_loss: 0.2114 - val_categorical_accuracy: 0.9531 - 655ms/epoch - 5ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0903 - categorical_accuracy: 0.9740 - val_loss: 0.2113 - val_categorical_accuracy: 0.9507 - 686ms/epoch - 5ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9843 - val_loss: 0.1854 - val_categorical_accuracy: 0.9591 - 691ms/epoch - 5ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.2089 - val_categorical_accuracy: 0.9550 - 654ms/epoch - 5ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1850 - val_categorical_accuracy: 0.9599 - 672ms/epoch - 5ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1917 - val_categorical_accuracy: 0.9595 - 687ms/epoch - 5ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9848 - val_loss: 0.1987 - val_categorical_accuracy: 0.9583 - 655ms/epoch - 5ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.2000 - val_categorical_accuracy: 0.9569 - 670ms/epoch - 5ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.2234 - val_categorical_accuracy: 0.9557 - 668ms/epoch - 5ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.2145 - val_categorical_accuracy: 0.9521 - 653ms/epoch - 5ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.2449 - val_categorical_accuracy: 0.9457 - 669ms/epoch - 5ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9843 - val_loss: 0.2024 - val_categorical_accuracy: 0.9537 - 671ms/epoch - 5ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.2084 - val_categorical_accuracy: 0.9545 - 656ms/epoch - 5ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9836 - val_loss: 0.2245 - val_categorical_accuracy: 0.9526 - 684ms/epoch - 5ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.1936 - val_categorical_accuracy: 0.9583 - 685ms/epoch - 5ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9806 - val_loss: 0.2213 - val_categorical_accuracy: 0.9510 - 667ms/epoch - 5ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.2083 - val_categorical_accuracy: 0.9549 - 669ms/epoch - 5ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.2048 - val_categorical_accuracy: 0.9568 - 717ms/epoch - 5ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9840 - val_loss: 0.1900 - val_categorical_accuracy: 0.9606 - 685ms/epoch - 5ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1976 - val_categorical_accuracy: 0.9573 - 669ms/epoch - 5ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1991 - val_categorical_accuracy: 0.9578 - 685ms/epoch - 5ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.1717 - categorical_accuracy: 0.9569 - val_loss: 0.1900 - val_categorical_accuracy: 0.9510 - 670ms/epoch - 5ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9828 - val_loss: 0.1782 - val_categorical_accuracy: 0.9594 - 670ms/epoch - 5ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.1825 - val_categorical_accuracy: 0.9594 - 701ms/epoch - 5ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9852 - val_loss: 0.1974 - val_categorical_accuracy: 0.9561 - 667ms/epoch - 5ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9848 - val_loss: 0.1996 - val_categorical_accuracy: 0.9569 - 664ms/epoch - 5ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9852 - val_loss: 0.2221 - val_categorical_accuracy: 0.9528 - 684ms/epoch - 5ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9849 - val_loss: 0.2101 - val_categorical_accuracy: 0.9520 - 656ms/epoch - 5ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.2042 - val_categorical_accuracy: 0.9572 - 640ms/epoch - 5ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1952 - val_categorical_accuracy: 0.9568 - 682ms/epoch - 5ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.2033 - val_categorical_accuracy: 0.9563 - 665ms/epoch - 5ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2072 - val_categorical_accuracy: 0.9541 - 668ms/epoch - 5ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.1995 - val_categorical_accuracy: 0.9557 - 666ms/epoch - 5ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2075 - val_categorical_accuracy: 0.9558 - 656ms/epoch - 5ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.2175 - val_categorical_accuracy: 0.9549 - 655ms/epoch - 5ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9850 - val_loss: 0.2070 - val_categorical_accuracy: 0.9562 - 688ms/epoch - 5ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2141 - val_categorical_accuracy: 0.9517 - 667ms/epoch - 5ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.2354 - val_categorical_accuracy: 0.9514 - 652ms/epoch - 5ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9848 - val_loss: 0.2038 - val_categorical_accuracy: 0.9571 - 685ms/epoch - 5ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.2210 - val_categorical_accuracy: 0.9529 - 667ms/epoch - 5ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.2058 - val_categorical_accuracy: 0.9572 - 651ms/epoch - 5ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9846 - val_loss: 0.1954 - val_categorical_accuracy: 0.9591 - 686ms/epoch - 5ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9849 - val_loss: 0.2186 - val_categorical_accuracy: 0.9529 - 655ms/epoch - 5ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.1995 - val_categorical_accuracy: 0.9578 - 670ms/epoch - 5ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.1071 - categorical_accuracy: 0.9707 - val_loss: 0.1991 - val_categorical_accuracy: 0.9503 - 677ms/epoch - 5ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.1964 - val_categorical_accuracy: 0.9582 - 667ms/epoch - 5ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.1975 - val_categorical_accuracy: 0.9573 - 652ms/epoch - 5ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.2065 - val_categorical_accuracy: 0.9528 - 668ms/epoch - 5ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.2007 - val_categorical_accuracy: 0.9582 - 669ms/epoch - 5ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9856 - val_loss: 0.2227 - val_categorical_accuracy: 0.9502 - 656ms/epoch - 5ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.2016 - val_categorical_accuracy: 0.9588 - 686ms/epoch - 5ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.2114 - val_categorical_accuracy: 0.9559 - 671ms/epoch - 5ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.1981 - val_categorical_accuracy: 0.9602 - 654ms/epoch - 5ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2056 - val_categorical_accuracy: 0.9575 - 685ms/epoch - 5ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.2042 - val_categorical_accuracy: 0.9584 - 666ms/epoch - 5ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.2060 - val_categorical_accuracy: 0.9559 - 655ms/epoch - 5ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.1963 - val_categorical_accuracy: 0.9591 - 669ms/epoch - 5ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9849 - val_loss: 0.1945 - val_categorical_accuracy: 0.9588 - 666ms/epoch - 5ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.2387 - val_categorical_accuracy: 0.9502 - 655ms/epoch - 5ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9841 - val_loss: 0.2114 - val_categorical_accuracy: 0.9563 - 683ms/epoch - 5ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0704 - categorical_accuracy: 0.9809 - val_loss: 1.7540 - val_categorical_accuracy: 0.7046 - 656ms/epoch - 5ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9695 - val_loss: 0.1827 - val_categorical_accuracy: 0.9598 - 653ms/epoch - 5ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.2121 - val_categorical_accuracy: 0.9506 - 687ms/epoch - 5ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.1902 - val_categorical_accuracy: 0.9581 - 669ms/epoch - 5ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.2013 - val_categorical_accuracy: 0.9591 - 638ms/epoch - 5ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1898 - val_categorical_accuracy: 0.9610 - 683ms/epoch - 5ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1962 - val_categorical_accuracy: 0.9586 - 655ms/epoch - 5ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.2021 - val_categorical_accuracy: 0.9570 - 655ms/epoch - 5ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.2080 - val_categorical_accuracy: 0.9559 - 685ms/epoch - 5ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.2135 - val_categorical_accuracy: 0.9565 - 652ms/epoch - 5ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.2129 - val_categorical_accuracy: 0.9564 - 655ms/epoch - 5ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.2246 - val_categorical_accuracy: 0.9532 - 687ms/epoch - 5ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 0.2162 - val_categorical_accuracy: 0.9577 - 649ms/epoch - 5ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.2150 - val_categorical_accuracy: 0.9561 - 653ms/epoch - 5ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.2127 - val_categorical_accuracy: 0.9561 - 671ms/epoch - 5ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.2131 - val_categorical_accuracy: 0.9573 - 670ms/epoch - 5ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0847 - categorical_accuracy: 0.9757 - val_loss: 0.2004 - val_categorical_accuracy: 0.9557 - 656ms/epoch - 5ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9857 - val_loss: 0.1986 - val_categorical_accuracy: 0.9576 - 672ms/epoch - 5ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.1981 - val_categorical_accuracy: 0.9577 - 669ms/epoch - 5ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9764 - val_loss: 0.1911 - val_categorical_accuracy: 0.9557 - 655ms/epoch - 5ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1893 - val_categorical_accuracy: 0.9594 - 670ms/epoch - 5ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9859 - val_loss: 0.1907 - val_categorical_accuracy: 0.9584 - 683ms/epoch - 5ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.2010 - val_categorical_accuracy: 0.9552 - 638ms/epoch - 5ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.1995 - val_categorical_accuracy: 0.9583 - 669ms/epoch - 5ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.2025 - val_categorical_accuracy: 0.9576 - 665ms/epoch - 5ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1966 - val_categorical_accuracy: 0.9604 - 648ms/epoch - 5ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.2025 - val_categorical_accuracy: 0.9582 - 671ms/epoch - 5ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.2034 - val_categorical_accuracy: 0.9576 - 654ms/epoch - 5ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.2116 - val_categorical_accuracy: 0.9568 - 653ms/epoch - 5ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.1983 - val_categorical_accuracy: 0.9583 - 686ms/epoch - 5ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.2139 - val_categorical_accuracy: 0.9538 - 665ms/epoch - 5ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.2089 - val_categorical_accuracy: 0.9573 - 655ms/epoch - 5ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.2213 - val_categorical_accuracy: 0.9552 - 671ms/epoch - 5ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.2104 - val_categorical_accuracy: 0.9553 - 654ms/epoch - 5ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0955 - categorical_accuracy: 0.9735 - val_loss: 0.1875 - val_categorical_accuracy: 0.9584 - 651ms/epoch - 5ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9853 - val_loss: 0.1945 - val_categorical_accuracy: 0.9588 - 684ms/epoch - 5ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.2040 - val_categorical_accuracy: 0.9588 - 653ms/epoch - 5ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.2171 - val_categorical_accuracy: 0.9526 - 655ms/epoch - 5ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.2106 - val_categorical_accuracy: 0.9575 - 671ms/epoch - 5ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2067 - val_categorical_accuracy: 0.9555 - 652ms/epoch - 5ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.2192 - val_categorical_accuracy: 0.9530 - 670ms/epoch - 5ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2138 - val_categorical_accuracy: 0.9556 - 685ms/epoch - 5ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.2107 - val_categorical_accuracy: 0.9548 - 650ms/epoch - 5ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9849 - val_loss: 0.2249 - val_categorical_accuracy: 0.9544 - 655ms/epoch - 5ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.2184 - val_categorical_accuracy: 0.9535 - 688ms/epoch - 5ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9846 - val_loss: 0.2206 - val_categorical_accuracy: 0.9539 - 653ms/epoch - 5ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1978 - val_categorical_accuracy: 0.9592 - 671ms/epoch - 5ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.2139 - val_categorical_accuracy: 0.9559 - 688ms/epoch - 5ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.2211 - val_categorical_accuracy: 0.9555 - 670ms/epoch - 5ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9850 - val_loss: 0.2111 - val_categorical_accuracy: 0.9568 - 686ms/epoch - 5ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.2139 - val_categorical_accuracy: 0.9579 - 681ms/epoch - 5ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.2094 - val_categorical_accuracy: 0.9592 - 662ms/epoch - 5ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0782 - categorical_accuracy: 0.9772 - val_loss: 0.1981 - val_categorical_accuracy: 0.9536 - 636ms/epoch - 5ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9847 - val_loss: 0.2017 - val_categorical_accuracy: 0.9575 - 668ms/epoch - 5ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2077 - val_categorical_accuracy: 0.9551 - 667ms/epoch - 5ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2073 - val_categorical_accuracy: 0.9556 - 648ms/epoch - 5ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.2039 - val_categorical_accuracy: 0.9553 - 684ms/epoch - 5ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2062 - val_categorical_accuracy: 0.9570 - 656ms/epoch - 5ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.2231 - val_categorical_accuracy: 0.9534 - 654ms/epoch - 5ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9847 - val_loss: 0.2090 - val_categorical_accuracy: 0.9575 - 686ms/epoch - 5ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.2047 - val_categorical_accuracy: 0.9584 - 653ms/epoch - 5ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2073 - val_categorical_accuracy: 0.9579 - 652ms/epoch - 5ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9852 - val_loss: 0.2076 - val_categorical_accuracy: 0.9577 - 655ms/epoch - 5ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2230 - val_categorical_accuracy: 0.9540 - 672ms/epoch - 5ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.2175 - categorical_accuracy: 0.9433 - val_loss: 0.1939 - val_categorical_accuracy: 0.9508 - 655ms/epoch - 5ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9812 - val_loss: 0.1884 - val_categorical_accuracy: 0.9571 - 668ms/epoch - 5ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9856 - val_loss: 0.1877 - val_categorical_accuracy: 0.9598 - 668ms/epoch - 5ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9861 - val_loss: 0.1982 - val_categorical_accuracy: 0.9565 - 651ms/epoch - 5ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9853 - val_loss: 0.1987 - val_categorical_accuracy: 0.9578 - 681ms/epoch - 5ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.2063 - val_categorical_accuracy: 0.9578 - 653ms/epoch - 5ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2044 - val_categorical_accuracy: 0.9592 - 654ms/epoch - 5ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.2054 - val_categorical_accuracy: 0.9568 - 671ms/epoch - 5ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.1017 - categorical_accuracy: 0.9736 - val_loss: 0.1884 - val_categorical_accuracy: 0.9502 - 656ms/epoch - 5ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9841 - val_loss: 0.1885 - val_categorical_accuracy: 0.9596 - 685ms/epoch - 5ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9862 - val_loss: 0.1901 - val_categorical_accuracy: 0.9606 - 684ms/epoch - 5ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.2045 - val_categorical_accuracy: 0.9575 - 653ms/epoch - 5ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1893 - val_categorical_accuracy: 0.9593 - 655ms/epoch - 5ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9851 - val_loss: 0.1984 - val_categorical_accuracy: 0.9581 - 667ms/epoch - 5ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.1912 - val_categorical_accuracy: 0.9603 - 655ms/epoch - 5ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2173 - val_categorical_accuracy: 0.9520 - 655ms/epoch - 5ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9848 - val_loss: 0.2594 - val_categorical_accuracy: 0.9429 - 669ms/epoch - 5ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9783 - val_loss: 0.1967 - val_categorical_accuracy: 0.9582 - 655ms/epoch - 5ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1989 - val_categorical_accuracy: 0.9581 - 654ms/epoch - 5ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.1955 - val_categorical_accuracy: 0.9601 - 686ms/epoch - 5ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.2309 - val_categorical_accuracy: 0.9452 - 655ms/epoch - 5ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9743 - val_loss: 0.1909 - val_categorical_accuracy: 0.9561 - 667ms/epoch - 5ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2033 - val_categorical_accuracy: 0.9558 - 670ms/epoch - 5ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9863 - val_loss: 0.2027 - val_categorical_accuracy: 0.9570 - 652ms/epoch - 5ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2000 - val_categorical_accuracy: 0.9581 - 652ms/epoch - 5ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2001 - val_categorical_accuracy: 0.9575 - 669ms/epoch - 5ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1968 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.2008 - val_categorical_accuracy: 0.9586 - 668ms/epoch - 5ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2607 - val_categorical_accuracy: 0.9433 - 683ms/epoch - 5ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9849 - val_loss: 0.2047 - val_categorical_accuracy: 0.9586 - 653ms/epoch - 5ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9861 - val_loss: 0.2053 - val_categorical_accuracy: 0.9591 - 671ms/epoch - 5ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2132 - val_categorical_accuracy: 0.9562 - 685ms/epoch - 5ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.2162 - val_categorical_accuracy: 0.9551 - 636ms/epoch - 5ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.2126 - val_categorical_accuracy: 0.9561 - 670ms/epoch - 5ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.2086 - val_categorical_accuracy: 0.9583 - 655ms/epoch - 5ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.2128 - val_categorical_accuracy: 0.9582 - 653ms/epoch - 5ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.2000 - val_categorical_accuracy: 0.9589 - 653ms/epoch - 5ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.2061 - val_categorical_accuracy: 0.9590 - 700ms/epoch - 5ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0950 - categorical_accuracy: 0.9743 - val_loss: 0.2065 - val_categorical_accuracy: 0.9525 - 640ms/epoch - 5ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9849 - val_loss: 0.1989 - val_categorical_accuracy: 0.9590 - 671ms/epoch - 5ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2013 - val_categorical_accuracy: 0.9580 - 668ms/epoch - 5ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2051 - val_categorical_accuracy: 0.9595 - 653ms/epoch - 5ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.2068 - val_categorical_accuracy: 0.9568 - 672ms/epoch - 5ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.2182 - val_categorical_accuracy: 0.9541 - 671ms/epoch - 5ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2055 - val_categorical_accuracy: 0.9593 - 652ms/epoch - 5ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2150 - val_categorical_accuracy: 0.9577 - 669ms/epoch - 5ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.2122 - val_categorical_accuracy: 0.9590 - 669ms/epoch - 5ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.2503 - val_categorical_accuracy: 0.9514 - 672ms/epoch - 5ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9855 - val_loss: 0.1996 - val_categorical_accuracy: 0.9602 - 656ms/epoch - 5ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.2328 - val_categorical_accuracy: 0.9510 - 668ms/epoch - 5ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2069 - val_categorical_accuracy: 0.9593 - 639ms/epoch - 5ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2161 - val_categorical_accuracy: 0.9579 - 685ms/epoch - 5ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.2130 - val_categorical_accuracy: 0.9576 - 669ms/epoch - 5ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2113 - val_categorical_accuracy: 0.9545 - 652ms/epoch - 5ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2020 - val_categorical_accuracy: 0.9605 - 652ms/epoch - 5ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2134 - val_categorical_accuracy: 0.9579 - 682ms/epoch - 5ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9861 - val_loss: 0.2228 - val_categorical_accuracy: 0.9555 - 651ms/epoch - 5ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.2162 - val_categorical_accuracy: 0.9587 - 664ms/epoch - 5ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0992 - categorical_accuracy: 0.9732 - val_loss: 0.2015 - val_categorical_accuracy: 0.9584 - 652ms/epoch - 5ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.1988 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.2019 - val_categorical_accuracy: 0.9604 - 669ms/epoch - 5ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9860 - val_loss: 0.2195 - val_categorical_accuracy: 0.9534 - 687ms/epoch - 5ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2121 - val_categorical_accuracy: 0.9575 - 638ms/epoch - 5ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9865 - val_loss: 0.2154 - val_categorical_accuracy: 0.9566 - 653ms/epoch - 5ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9856 - val_loss: 0.2009 - val_categorical_accuracy: 0.9599 - 670ms/epoch - 5ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2360 - val_categorical_accuracy: 0.9517 - 655ms/epoch - 5ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2114 - val_categorical_accuracy: 0.9581 - 685ms/epoch - 5ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2350 - val_categorical_accuracy: 0.9534 - 684ms/epoch - 5ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2134 - val_categorical_accuracy: 0.9568 - 640ms/epoch - 5ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2145 - val_categorical_accuracy: 0.9578 - 687ms/epoch - 5ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0798 - categorical_accuracy: 0.9761 - val_loss: 0.2066 - val_categorical_accuracy: 0.9556 - 668ms/epoch - 5ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2030 - val_categorical_accuracy: 0.9595 - 652ms/epoch - 5ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2150 - val_categorical_accuracy: 0.9560 - 684ms/epoch - 5ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.2189 - val_categorical_accuracy: 0.9547 - 685ms/epoch - 5ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2161 - val_categorical_accuracy: 0.9545 - 687ms/epoch - 5ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.3370 - val_categorical_accuracy: 0.9316 - 702ms/epoch - 5ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.2071 - val_categorical_accuracy: 0.9604 - 685ms/epoch - 5ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.2167 - val_categorical_accuracy: 0.9558 - 654ms/epoch - 5ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9860 - val_loss: 0.2092 - val_categorical_accuracy: 0.9603 - 667ms/epoch - 5ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.2204 - val_categorical_accuracy: 0.9568 - 672ms/epoch - 5ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.2219 - val_categorical_accuracy: 0.9540 - 653ms/epoch - 5ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2229 - val_categorical_accuracy: 0.9552 - 683ms/epoch - 5ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2285 - val_categorical_accuracy: 0.9566 - 685ms/epoch - 5ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2111 - val_categorical_accuracy: 0.9591 - 654ms/epoch - 5ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2138 - val_categorical_accuracy: 0.9586 - 671ms/epoch - 5ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9848 - val_loss: 0.3626 - val_categorical_accuracy: 0.9252 - 672ms/epoch - 5ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9799 - val_loss: 0.2046 - val_categorical_accuracy: 0.9589 - 637ms/epoch - 5ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2128 - val_categorical_accuracy: 0.9569 - 667ms/epoch - 5ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2075 - val_categorical_accuracy: 0.9594 - 667ms/epoch - 5ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9862 - val_loss: 0.2107 - val_categorical_accuracy: 0.9577 - 667ms/epoch - 5ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2047 - val_categorical_accuracy: 0.9596 - 655ms/epoch - 5ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2135 - val_categorical_accuracy: 0.9592 - 703ms/epoch - 5ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.2180 - val_categorical_accuracy: 0.9583 - 655ms/epoch - 5ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2201 - val_categorical_accuracy: 0.9587 - 654ms/epoch - 5ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2142 - val_categorical_accuracy: 0.9579 - 685ms/epoch - 5ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9848 - val_loss: 0.2184 - val_categorical_accuracy: 0.9561 - 669ms/epoch - 5ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9857 - val_loss: 0.2192 - val_categorical_accuracy: 0.9564 - 652ms/epoch - 5ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.2173 - val_categorical_accuracy: 0.9598 - 672ms/epoch - 5ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.2199 - val_categorical_accuracy: 0.9565 - 640ms/epoch - 5ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.1163 - categorical_accuracy: 0.9699 - val_loss: 0.1939 - val_categorical_accuracy: 0.9523 - 680ms/epoch - 5ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9847 - val_loss: 0.2003 - val_categorical_accuracy: 0.9588 - 685ms/epoch - 5ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9867 - val_loss: 0.2045 - val_categorical_accuracy: 0.9582 - 656ms/epoch - 5ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.2114 - val_categorical_accuracy: 0.9590 - 655ms/epoch - 5ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.2117 - val_categorical_accuracy: 0.9564 - 686ms/epoch - 5ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2192 - val_categorical_accuracy: 0.9563 - 649ms/epoch - 5ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9868 - val_loss: 0.2214 - val_categorical_accuracy: 0.9581 - 655ms/epoch - 5ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2180 - val_categorical_accuracy: 0.9583 - 655ms/epoch - 5ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2238 - val_categorical_accuracy: 0.9557 - 655ms/epoch - 5ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9862 - val_loss: 0.2227 - val_categorical_accuracy: 0.9570 - 672ms/epoch - 5ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9857 - val_loss: 0.2340 - val_categorical_accuracy: 0.9552 - 685ms/epoch - 5ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2108 - val_categorical_accuracy: 0.9588 - 638ms/epoch - 5ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.2138 - val_categorical_accuracy: 0.9595 - 652ms/epoch - 5ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9855 - val_loss: 0.2261 - val_categorical_accuracy: 0.9562 - 671ms/epoch - 5ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.2217 - val_categorical_accuracy: 0.9573 - 655ms/epoch - 5ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2177 - val_categorical_accuracy: 0.9605 - 653ms/epoch - 5ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.1600 - categorical_accuracy: 0.9595 - val_loss: 0.1920 - val_categorical_accuracy: 0.9585 - 685ms/epoch - 5ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9855 - val_loss: 0.2062 - val_categorical_accuracy: 0.9564 - 638ms/epoch - 5ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9864 - val_loss: 0.2083 - val_categorical_accuracy: 0.9558 - 685ms/epoch - 5ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.1997 - val_categorical_accuracy: 0.9600 - 670ms/epoch - 5ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2087 - val_categorical_accuracy: 0.9599 - 652ms/epoch - 5ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2703 - val_categorical_accuracy: 0.9475 - 669ms/epoch - 5ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9801 - val_loss: 0.2080 - val_categorical_accuracy: 0.9577 - 671ms/epoch - 5ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9852 - val_loss: 0.2236 - val_categorical_accuracy: 0.9548 - 654ms/epoch - 5ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2076 - val_categorical_accuracy: 0.9593 - 669ms/epoch - 5ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.2127 - val_categorical_accuracy: 0.9569 - 683ms/epoch - 5ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2060 - val_categorical_accuracy: 0.9612 - 668ms/epoch - 5ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2478 - val_categorical_accuracy: 0.9510 - 653ms/epoch - 5ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.2188 - val_categorical_accuracy: 0.9593 - 688ms/epoch - 5ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2623 - val_categorical_accuracy: 0.9460 - 656ms/epoch - 5ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0729 - categorical_accuracy: 0.9779 - val_loss: 0.2124 - val_categorical_accuracy: 0.9568 - 653ms/epoch - 5ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2036 - val_categorical_accuracy: 0.9598 - 666ms/epoch - 5ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2061 - val_categorical_accuracy: 0.9596 - 656ms/epoch - 5ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.2278 - val_categorical_accuracy: 0.9557 - 672ms/epoch - 5ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2226 - val_categorical_accuracy: 0.9566 - 671ms/epoch - 5ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.2098 - val_categorical_accuracy: 0.9587 - 647ms/epoch - 5ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2114 - val_categorical_accuracy: 0.9585 - 668ms/epoch - 5ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2113 - val_categorical_accuracy: 0.9601 - 672ms/epoch - 5ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2094 - val_categorical_accuracy: 0.9598 - 655ms/epoch - 5ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2187 - val_categorical_accuracy: 0.9571 - 653ms/epoch - 5ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2126 - val_categorical_accuracy: 0.9591 - 679ms/epoch - 5ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2151 - val_categorical_accuracy: 0.9589 - 650ms/epoch - 5ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.2397 - val_categorical_accuracy: 0.9546 - 670ms/epoch - 5ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2288 - val_categorical_accuracy: 0.9564 - 672ms/epoch - 5ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2246 - val_categorical_accuracy: 0.9579 - 656ms/epoch - 5ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2139 - val_categorical_accuracy: 0.9588 - 672ms/epoch - 5ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9859 - val_loss: 0.2147 - val_categorical_accuracy: 0.9588 - 671ms/epoch - 5ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.2272 - val_categorical_accuracy: 0.9574 - 653ms/epoch - 5ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2323 - val_categorical_accuracy: 0.9561 - 670ms/epoch - 5ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2183 - val_categorical_accuracy: 0.9581 - 687ms/epoch - 5ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.2537 - val_categorical_accuracy: 0.9508 - 667ms/epoch - 5ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2263 - val_categorical_accuracy: 0.9567 - 670ms/epoch - 5ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.5578 - val_categorical_accuracy: 0.9066 - 685ms/epoch - 5ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0722 - categorical_accuracy: 0.9790 - val_loss: 0.2149 - val_categorical_accuracy: 0.9564 - 639ms/epoch - 5ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2119 - val_categorical_accuracy: 0.9598 - 670ms/epoch - 5ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.2116 - val_categorical_accuracy: 0.9598 - 671ms/epoch - 5ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2225 - val_categorical_accuracy: 0.9571 - 666ms/epoch - 5ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2153 - val_categorical_accuracy: 0.9584 - 656ms/epoch - 5ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2197 - val_categorical_accuracy: 0.9578 - 669ms/epoch - 5ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2365 - val_categorical_accuracy: 0.9535 - 655ms/epoch - 5ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2162 - val_categorical_accuracy: 0.9589 - 682ms/epoch - 5ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2294 - val_categorical_accuracy: 0.9579 - 686ms/epoch - 5ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2692 - val_categorical_accuracy: 0.9493 - 655ms/epoch - 5ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2250 - val_categorical_accuracy: 0.9580 - 655ms/epoch - 5ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.2179 - val_categorical_accuracy: 0.9583 - 688ms/epoch - 5ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2255 - val_categorical_accuracy: 0.9554 - 671ms/epoch - 5ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0707 - categorical_accuracy: 0.9798 - val_loss: 0.2329 - val_categorical_accuracy: 0.9471 - 700ms/epoch - 5ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.2099 - val_categorical_accuracy: 0.9579 - 672ms/epoch - 5ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.2279 - val_categorical_accuracy: 0.9547 - 652ms/epoch - 5ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.2291 - val_categorical_accuracy: 0.9544 - 670ms/epoch - 5ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2178 - val_categorical_accuracy: 0.9574 - 672ms/epoch - 5ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.2169 - val_categorical_accuracy: 0.9588 - 655ms/epoch - 5ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2191 - val_categorical_accuracy: 0.9579 - 671ms/epoch - 5ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2208 - val_categorical_accuracy: 0.9594 - 670ms/epoch - 5ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.2184 - val_categorical_accuracy: 0.9590 - 655ms/epoch - 5ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2282 - val_categorical_accuracy: 0.9553 - 668ms/epoch - 5ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9860 - val_loss: 0.2449 - val_categorical_accuracy: 0.9520 - 668ms/epoch - 5ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.2387 - val_categorical_accuracy: 0.9522 - 654ms/epoch - 5ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2190 - val_categorical_accuracy: 0.9592 - 656ms/epoch - 5ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.2182 - val_categorical_accuracy: 0.9614 - 683ms/epoch - 5ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2212 - val_categorical_accuracy: 0.9562 - 667ms/epoch - 5ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.2197 - val_categorical_accuracy: 0.9575 - 655ms/epoch - 5ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.2303 - val_categorical_accuracy: 0.9560 - 685ms/epoch - 5ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2249 - val_categorical_accuracy: 0.9576 - 655ms/epoch - 5ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2182 - val_categorical_accuracy: 0.9592 - 666ms/epoch - 5ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2428 - val_categorical_accuracy: 0.9511 - 703ms/epoch - 5ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9859 - val_loss: 0.2227 - val_categorical_accuracy: 0.9578 - 669ms/epoch - 5ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2662 - val_categorical_accuracy: 0.9484 - 655ms/epoch - 5ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9854 - val_loss: 1.1244 - val_categorical_accuracy: 0.8331 - 668ms/epoch - 5ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.1375 - categorical_accuracy: 0.9650 - val_loss: 0.2095 - val_categorical_accuracy: 0.9548 - 653ms/epoch - 5ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.2174 - val_categorical_accuracy: 0.9568 - 671ms/epoch - 5ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9874 - val_loss: 0.2100 - val_categorical_accuracy: 0.9608 - 670ms/epoch - 5ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.2192 - val_categorical_accuracy: 0.9568 - 655ms/epoch - 5ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2415 - val_categorical_accuracy: 0.9535 - 668ms/epoch - 5ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2264 - val_categorical_accuracy: 0.9578 - 686ms/epoch - 5ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2223 - val_categorical_accuracy: 0.9575 - 655ms/epoch - 5ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2135 - val_categorical_accuracy: 0.9589 - 654ms/epoch - 5ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2185 - val_categorical_accuracy: 0.9582 - 666ms/epoch - 5ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2167 - val_categorical_accuracy: 0.9615 - 655ms/epoch - 5ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2269 - val_categorical_accuracy: 0.9583 - 669ms/epoch - 5ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2196 - val_categorical_accuracy: 0.9592 - 688ms/epoch - 5ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2236 - val_categorical_accuracy: 0.9576 - 651ms/epoch - 5ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9862 - val_loss: 0.2268 - val_categorical_accuracy: 0.9571 - 670ms/epoch - 5ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2269 - val_categorical_accuracy: 0.9580 - 667ms/epoch - 5ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2262 - val_categorical_accuracy: 0.9565 - 670ms/epoch - 5ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.3037 - categorical_accuracy: 0.9237 - val_loss: 0.2084 - val_categorical_accuracy: 0.9483 - 667ms/epoch - 5ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9820 - val_loss: 0.2116 - val_categorical_accuracy: 0.9548 - 687ms/epoch - 5ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.1950 - val_categorical_accuracy: 0.9594 - 656ms/epoch - 5ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9868 - val_loss: 0.1999 - val_categorical_accuracy: 0.9591 - 669ms/epoch - 5ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.2072 - val_categorical_accuracy: 0.9577 - 669ms/epoch - 5ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9870 - val_loss: 0.2043 - val_categorical_accuracy: 0.9594 - 670ms/epoch - 5ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2152 - val_categorical_accuracy: 0.9550 - 655ms/epoch - 5ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2121 - val_categorical_accuracy: 0.9592 - 686ms/epoch - 5ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2143 - val_categorical_accuracy: 0.9589 - 670ms/epoch - 5ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2117 - val_categorical_accuracy: 0.9600 - 655ms/epoch - 5ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2285 - val_categorical_accuracy: 0.9560 - 687ms/epoch - 5ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2208 - val_categorical_accuracy: 0.9571 - 670ms/epoch - 5ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2201 - val_categorical_accuracy: 0.9577 - 656ms/epoch - 5ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2201 - val_categorical_accuracy: 0.9578 - 698ms/epoch - 5ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.2101 - val_categorical_accuracy: 0.9602 - 655ms/epoch - 5ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2133 - val_categorical_accuracy: 0.9601 - 671ms/epoch - 5ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2238 - val_categorical_accuracy: 0.9592 - 671ms/epoch - 5ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2215 - val_categorical_accuracy: 0.9564 - 653ms/epoch - 5ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2283 - val_categorical_accuracy: 0.9553 - 654ms/epoch - 5ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2196 - val_categorical_accuracy: 0.9582 - 687ms/epoch - 5ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2218 - val_categorical_accuracy: 0.9572 - 669ms/epoch - 5ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2178 - val_categorical_accuracy: 0.9589 - 670ms/epoch - 5ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0702 - categorical_accuracy: 0.9789 - val_loss: 0.2151 - val_categorical_accuracy: 0.9587 - 670ms/epoch - 5ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2136 - val_categorical_accuracy: 0.9603 - 670ms/epoch - 5ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2287 - val_categorical_accuracy: 0.9558 - 655ms/epoch - 5ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2120 - val_categorical_accuracy: 0.9598 - 671ms/epoch - 5ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2813 - val_categorical_accuracy: 0.9425 - 668ms/epoch - 5ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.2176 - val_categorical_accuracy: 0.9609 - 665ms/epoch - 5ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2400 - val_categorical_accuracy: 0.9563 - 684ms/epoch - 5ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.2394 - val_categorical_accuracy: 0.9529 - 671ms/epoch - 5ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2459 - val_categorical_accuracy: 0.9514 - 654ms/epoch - 5ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2283 - val_categorical_accuracy: 0.9547 - 684ms/epoch - 5ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.2303 - val_categorical_accuracy: 0.9559 - 649ms/epoch - 5ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2274 - val_categorical_accuracy: 0.9569 - 650ms/epoch - 5ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2277 - val_categorical_accuracy: 0.9586 - 670ms/epoch - 5ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2233 - val_categorical_accuracy: 0.9601 - 669ms/epoch - 5ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2305 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2603 - val_categorical_accuracy: 0.9499 - 688ms/epoch - 5ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9764 - val_loss: 0.2024 - val_categorical_accuracy: 0.9597 - 656ms/epoch - 5ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2215 - val_categorical_accuracy: 0.9567 - 655ms/epoch - 5ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2180 - val_categorical_accuracy: 0.9575 - 668ms/epoch - 5ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2096 - val_categorical_accuracy: 0.9610 - 666ms/epoch - 5ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2143 - val_categorical_accuracy: 0.9594 - 655ms/epoch - 5ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0747 - categorical_accuracy: 0.9785 - val_loss: 0.2082 - val_categorical_accuracy: 0.9585 - 685ms/epoch - 5ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9872 - val_loss: 0.2131 - val_categorical_accuracy: 0.9587 - 671ms/epoch - 5ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2113 - val_categorical_accuracy: 0.9594 - 656ms/epoch - 5ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2174 - val_categorical_accuracy: 0.9589 - 686ms/epoch - 5ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2198 - val_categorical_accuracy: 0.9577 - 672ms/epoch - 5ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2210 - val_categorical_accuracy: 0.9577 - 656ms/epoch - 5ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2312 - val_categorical_accuracy: 0.9556 - 700ms/epoch - 5ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2318 - val_categorical_accuracy: 0.9577 - 670ms/epoch - 5ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2339 - val_categorical_accuracy: 0.9560 - 671ms/epoch - 5ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2294 - val_categorical_accuracy: 0.9583 - 668ms/epoch - 5ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2200 - val_categorical_accuracy: 0.9589 - 671ms/epoch - 5ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2220 - val_categorical_accuracy: 0.9602 - 652ms/epoch - 5ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2237 - val_categorical_accuracy: 0.9562 - 685ms/epoch - 5ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.2159 - val_categorical_accuracy: 0.9600 - 702ms/epoch - 5ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2201 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2234 - val_categorical_accuracy: 0.9585 - 668ms/epoch - 5ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2261 - val_categorical_accuracy: 0.9598 - 670ms/epoch - 5ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2210 - val_categorical_accuracy: 0.9603 - 652ms/epoch - 5ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2358 - val_categorical_accuracy: 0.9583 - 685ms/epoch - 5ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2406 - val_categorical_accuracy: 0.9560 - 671ms/epoch - 5ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2230 - val_categorical_accuracy: 0.9592 - 654ms/epoch - 5ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9874 - val_loss: 0.2375 - val_categorical_accuracy: 0.9577 - 664ms/epoch - 5ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0963 - categorical_accuracy: 0.9746 - val_loss: 0.2111 - val_categorical_accuracy: 0.9566 - 683ms/epoch - 5ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.2186 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2234 - val_categorical_accuracy: 0.9570 - 685ms/epoch - 5ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2444 - val_categorical_accuracy: 0.9522 - 670ms/epoch - 5ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.2495 - val_categorical_accuracy: 0.9510 - 656ms/epoch - 5ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2187 - val_categorical_accuracy: 0.9587 - 687ms/epoch - 5ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2313 - val_categorical_accuracy: 0.9542 - 672ms/epoch - 5ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2246 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2237 - val_categorical_accuracy: 0.9591 - 666ms/epoch - 5ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2364 - val_categorical_accuracy: 0.9552 - 684ms/epoch - 5ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2212 - val_categorical_accuracy: 0.9597 - 656ms/epoch - 5ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2382 - val_categorical_accuracy: 0.9568 - 684ms/epoch - 5ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2309 - val_categorical_accuracy: 0.9579 - 654ms/epoch - 5ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2785 - val_categorical_accuracy: 0.9438 - 637ms/epoch - 5ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9782 - val_loss: 0.2458 - val_categorical_accuracy: 0.9480 - 701ms/epoch - 5ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2124 - val_categorical_accuracy: 0.9587 - 669ms/epoch - 5ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2513 - val_categorical_accuracy: 0.9523 - 654ms/epoch - 5ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2341 - val_categorical_accuracy: 0.9561 - 669ms/epoch - 5ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2211 - val_categorical_accuracy: 0.9608 - 668ms/epoch - 5ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2279 - val_categorical_accuracy: 0.9578 - 653ms/epoch - 5ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2420 - val_categorical_accuracy: 0.9548 - 669ms/epoch - 5ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2287 - val_categorical_accuracy: 0.9592 - 670ms/epoch - 5ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2222 - val_categorical_accuracy: 0.9577 - 686ms/epoch - 5ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2329 - val_categorical_accuracy: 0.9571 - 668ms/epoch - 5ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2289 - val_categorical_accuracy: 0.9584 - 668ms/epoch - 5ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.1017 - categorical_accuracy: 0.9731 - val_loss: 0.1991 - val_categorical_accuracy: 0.9584 - 639ms/epoch - 5ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.2136 - val_categorical_accuracy: 0.9599 - 669ms/epoch - 5ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9876 - val_loss: 0.2235 - val_categorical_accuracy: 0.9558 - 670ms/epoch - 5ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2369 - val_categorical_accuracy: 0.9548 - 654ms/epoch - 5ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2313 - val_categorical_accuracy: 0.9559 - 653ms/epoch - 5ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2197 - val_categorical_accuracy: 0.9599 - 671ms/epoch - 5ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2286 - val_categorical_accuracy: 0.9569 - 639ms/epoch - 5ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2311 - val_categorical_accuracy: 0.9595 - 669ms/epoch - 5ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2222 - val_categorical_accuracy: 0.9602 - 656ms/epoch - 5ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2251 - val_categorical_accuracy: 0.9587 - 654ms/epoch - 5ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2368 - val_categorical_accuracy: 0.9569 - 670ms/epoch - 5ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2258 - val_categorical_accuracy: 0.9568 - 670ms/epoch - 5ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2385 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2261 - val_categorical_accuracy: 0.9599 - 685ms/epoch - 5ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.2247 - val_categorical_accuracy: 0.9597 - 655ms/epoch - 5ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9749 - val_loss: 0.2087 - val_categorical_accuracy: 0.9587 - 654ms/epoch - 5ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9871 - val_loss: 0.2183 - val_categorical_accuracy: 0.9589 - 668ms/epoch - 5ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2208 - val_categorical_accuracy: 0.9585 - 685ms/epoch - 5ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9880 - val_loss: 0.2210 - val_categorical_accuracy: 0.9574 - 653ms/epoch - 5ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2265 - val_categorical_accuracy: 0.9592 - 876ms/epoch - 6ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9880 - val_loss: 0.2428 - val_categorical_accuracy: 0.9531 - 704ms/epoch - 5ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2160 - val_categorical_accuracy: 0.9592 - 654ms/epoch - 5ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2463 - val_categorical_accuracy: 0.9540 - 668ms/epoch - 5ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2240 - val_categorical_accuracy: 0.9596 - 686ms/epoch - 5ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2254 - val_categorical_accuracy: 0.9596 - 652ms/epoch - 5ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2251 - val_categorical_accuracy: 0.9598 - 699ms/epoch - 5ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2384 - val_categorical_accuracy: 0.9575 - 687ms/epoch - 5ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2253 - val_categorical_accuracy: 0.9601 - 671ms/epoch - 5ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.2338 - val_categorical_accuracy: 0.9594 - 670ms/epoch - 5ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2643 - val_categorical_accuracy: 0.9534 - 671ms/epoch - 5ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2280 - val_categorical_accuracy: 0.9580 - 656ms/epoch - 5ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2308 - val_categorical_accuracy: 0.9595 - 672ms/epoch - 5ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9858 - val_loss: 0.2405 - val_categorical_accuracy: 0.9545 - 686ms/epoch - 5ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2310 - val_categorical_accuracy: 0.9596 - 684ms/epoch - 5ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2308 - val_categorical_accuracy: 0.9581 - 655ms/epoch - 5ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2328 - val_categorical_accuracy: 0.9582 - 682ms/epoch - 5ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2281 - val_categorical_accuracy: 0.9596 - 671ms/epoch - 5ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2672 - val_categorical_accuracy: 0.9486 - 655ms/epoch - 5ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2276 - val_categorical_accuracy: 0.9601 - 671ms/epoch - 5ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2403 - val_categorical_accuracy: 0.9576 - 670ms/epoch - 5ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2330 - val_categorical_accuracy: 0.9588 - 654ms/epoch - 5ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2330 - val_categorical_accuracy: 0.9600 - 703ms/epoch - 5ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2240 - val_categorical_accuracy: 0.9603 - 670ms/epoch - 5ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.1502 - categorical_accuracy: 0.9637 - val_loss: 0.2233 - val_categorical_accuracy: 0.9423 - 655ms/epoch - 5ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9807 - val_loss: 0.2205 - val_categorical_accuracy: 0.9546 - 685ms/epoch - 5ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2122 - val_categorical_accuracy: 0.9606 - 672ms/epoch - 5ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.2127 - val_categorical_accuracy: 0.9581 - 637ms/epoch - 5ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2166 - val_categorical_accuracy: 0.9598 - 701ms/epoch - 5ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2231 - val_categorical_accuracy: 0.9598 - 686ms/epoch - 5ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2221 - val_categorical_accuracy: 0.9580 - 686ms/epoch - 5ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2245 - val_categorical_accuracy: 0.9592 - 687ms/epoch - 5ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.2290 - val_categorical_accuracy: 0.9593 - 701ms/epoch - 5ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2329 - val_categorical_accuracy: 0.9582 - 654ms/epoch - 5ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2279 - val_categorical_accuracy: 0.9594 - 671ms/epoch - 5ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2441 - val_categorical_accuracy: 0.9558 - 685ms/epoch - 5ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9878 - val_loss: 0.2282 - val_categorical_accuracy: 0.9591 - 655ms/epoch - 5ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2289 - val_categorical_accuracy: 0.9593 - 670ms/epoch - 5ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2277 - val_categorical_accuracy: 0.9585 - 701ms/epoch - 5ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2267 - val_categorical_accuracy: 0.9591 - 650ms/epoch - 5ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2489 - val_categorical_accuracy: 0.9552 - 682ms/epoch - 5ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2339 - val_categorical_accuracy: 0.9595 - 670ms/epoch - 5ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2317 - val_categorical_accuracy: 0.9572 - 655ms/epoch - 5ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2256 - val_categorical_accuracy: 0.9594 - 667ms/epoch - 5ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2272 - val_categorical_accuracy: 0.9590 - 697ms/epoch - 5ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2552 - val_categorical_accuracy: 0.9561 - 654ms/epoch - 5ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2433 - val_categorical_accuracy: 0.9556 - 654ms/epoch - 5ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2338 - val_categorical_accuracy: 0.9578 - 684ms/epoch - 5ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2347 - val_categorical_accuracy: 0.9578 - 670ms/epoch - 5ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.2292 - val_categorical_accuracy: 0.9592 - 672ms/epoch - 5ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2496 - val_categorical_accuracy: 0.9578 - 670ms/epoch - 5ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9871 - val_loss: 0.2314 - val_categorical_accuracy: 0.9602 - 654ms/epoch - 5ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2431 - val_categorical_accuracy: 0.9562 - 666ms/epoch - 5ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2371 - val_categorical_accuracy: 0.9584 - 670ms/epoch - 5ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2368 - val_categorical_accuracy: 0.9586 - 671ms/epoch - 5ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2230 - val_categorical_accuracy: 0.9611 - 651ms/epoch - 5ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2404 - val_categorical_accuracy: 0.9574 - 687ms/epoch - 5ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.2370 - categorical_accuracy: 0.9403 - val_loss: 0.2298 - val_categorical_accuracy: 0.9405 - 656ms/epoch - 5ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9784 - val_loss: 0.2030 - val_categorical_accuracy: 0.9575 - 668ms/epoch - 5ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2115 - val_categorical_accuracy: 0.9589 - 700ms/epoch - 5ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2114 - val_categorical_accuracy: 0.9578 - 670ms/epoch - 5ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2296 - val_categorical_accuracy: 0.9545 - 655ms/epoch - 5ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2144 - val_categorical_accuracy: 0.9600 - 687ms/epoch - 5ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9877 - val_loss: 0.2198 - val_categorical_accuracy: 0.9608 - 666ms/epoch - 5ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2227 - val_categorical_accuracy: 0.9590 - 648ms/epoch - 5ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2294 - val_categorical_accuracy: 0.9598 - 687ms/epoch - 5ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2503 - val_categorical_accuracy: 0.9568 - 671ms/epoch - 5ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2257 - val_categorical_accuracy: 0.9596 - 655ms/epoch - 5ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2324 - val_categorical_accuracy: 0.9554 - 682ms/epoch - 5ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2285 - val_categorical_accuracy: 0.9583 - 670ms/epoch - 5ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2261 - val_categorical_accuracy: 0.9615 - 654ms/epoch - 5ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2372 - val_categorical_accuracy: 0.9568 - 671ms/epoch - 5ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2358 - val_categorical_accuracy: 0.9576 - 672ms/epoch - 5ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2395 - val_categorical_accuracy: 0.9570 - 656ms/epoch - 5ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2258 - val_categorical_accuracy: 0.9610 - 686ms/epoch - 5ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2273 - val_categorical_accuracy: 0.9604 - 656ms/epoch - 5ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2325 - val_categorical_accuracy: 0.9594 - 653ms/epoch - 5ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2357 - val_categorical_accuracy: 0.9558 - 680ms/epoch - 5ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2454 - val_categorical_accuracy: 0.9564 - 672ms/epoch - 5ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2373 - val_categorical_accuracy: 0.9591 - 654ms/epoch - 5ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2301 - val_categorical_accuracy: 0.9584 - 668ms/epoch - 5ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9881 - val_loss: 0.2482 - val_categorical_accuracy: 0.9577 - 671ms/epoch - 5ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2375 - val_categorical_accuracy: 0.9576 - 671ms/epoch - 5ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2803 - val_categorical_accuracy: 0.9493 - 671ms/epoch - 5ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2381 - val_categorical_accuracy: 0.9607 - 665ms/epoch - 5ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.1757 - categorical_accuracy: 0.9552 - val_loss: 0.2025 - val_categorical_accuracy: 0.9502 - 654ms/epoch - 5ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.2006 - val_categorical_accuracy: 0.9611 - 687ms/epoch - 5ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9876 - val_loss: 0.2146 - val_categorical_accuracy: 0.9595 - 684ms/epoch - 5ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2140 - val_categorical_accuracy: 0.9605 - 654ms/epoch - 5ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2240 - val_categorical_accuracy: 0.9608 - 667ms/epoch - 5ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2309 - val_categorical_accuracy: 0.9568 - 656ms/epoch - 5ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2194 - val_categorical_accuracy: 0.9587 - 655ms/epoch - 5ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2313 - val_categorical_accuracy: 0.9593 - 671ms/epoch - 5ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2287 - val_categorical_accuracy: 0.9585 - 656ms/epoch - 5ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9877 - val_loss: 0.2358 - val_categorical_accuracy: 0.9589 - 652ms/epoch - 5ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9799 - val_loss: 0.2107 - val_categorical_accuracy: 0.9605 - 686ms/epoch - 5ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2294 - val_categorical_accuracy: 0.9566 - 683ms/epoch - 5ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2147 - val_categorical_accuracy: 0.9620 - 654ms/epoch - 5ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2254 - val_categorical_accuracy: 0.9596 - 687ms/epoch - 5ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2221 - val_categorical_accuracy: 0.9601 - 656ms/epoch - 5ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2240 - val_categorical_accuracy: 0.9609 - 652ms/epoch - 5ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2308 - val_categorical_accuracy: 0.9588 - 687ms/epoch - 5ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2258 - val_categorical_accuracy: 0.9609 - 666ms/epoch - 5ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2268 - val_categorical_accuracy: 0.9619 - 654ms/epoch - 5ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2369 - val_categorical_accuracy: 0.9582 - 682ms/epoch - 5ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2277 - val_categorical_accuracy: 0.9592 - 667ms/epoch - 5ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2465 - val_categorical_accuracy: 0.9580 - 668ms/epoch - 5ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2412 - val_categorical_accuracy: 0.9569 - 671ms/epoch - 5ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9881 - val_loss: 0.2336 - val_categorical_accuracy: 0.9601 - 666ms/epoch - 5ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2373 - val_categorical_accuracy: 0.9571 - 655ms/epoch - 5ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2343 - val_categorical_accuracy: 0.9599 - 683ms/epoch - 5ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2479 - val_categorical_accuracy: 0.9583 - 669ms/epoch - 5ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9880 - val_loss: 0.2389 - val_categorical_accuracy: 0.9590 - 656ms/epoch - 5ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2300 - val_categorical_accuracy: 0.9601 - 669ms/epoch - 5ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.2328 - val_categorical_accuracy: 0.9603 - 667ms/epoch - 5ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2445 - val_categorical_accuracy: 0.9565 - 648ms/epoch - 5ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2438 - val_categorical_accuracy: 0.9577 - 685ms/epoch - 5ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2417 - val_categorical_accuracy: 0.9568 - 668ms/epoch - 5ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2285 - val_categorical_accuracy: 0.9594 - 654ms/epoch - 5ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2473 - val_categorical_accuracy: 0.9585 - 686ms/epoch - 5ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2310 - val_categorical_accuracy: 0.9607 - 703ms/epoch - 5ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.2438 - val_categorical_accuracy: 0.9589 - 668ms/epoch - 5ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2564 - val_categorical_accuracy: 0.9557 - 655ms/epoch - 5ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2375 - val_categorical_accuracy: 0.9581 - 667ms/epoch - 5ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2622 - val_categorical_accuracy: 0.9530 - 654ms/epoch - 5ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.1441 - categorical_accuracy: 0.9632 - val_loss: 0.2218 - val_categorical_accuracy: 0.9546 - 671ms/epoch - 5ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9875 - val_loss: 0.2260 - val_categorical_accuracy: 0.9585 - 687ms/epoch - 5ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2279 - val_categorical_accuracy: 0.9602 - 639ms/epoch - 5ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9884 - val_loss: 0.2326 - val_categorical_accuracy: 0.9564 - 669ms/epoch - 5ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2408 - val_categorical_accuracy: 0.9567 - 686ms/epoch - 5ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2199 - val_categorical_accuracy: 0.9603 - 652ms/epoch - 5ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2257 - val_categorical_accuracy: 0.9594 - 669ms/epoch - 5ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2354 - val_categorical_accuracy: 0.9595 - 672ms/epoch - 5ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2270 - val_categorical_accuracy: 0.9579 - 654ms/epoch - 5ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0793 - categorical_accuracy: 0.9782 - val_loss: 0.2139 - val_categorical_accuracy: 0.9542 - 687ms/epoch - 5ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.2332 - val_categorical_accuracy: 0.9569 - 655ms/epoch - 5ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2427 - val_categorical_accuracy: 0.9558 - 655ms/epoch - 5ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2256 - val_categorical_accuracy: 0.9584 - 669ms/epoch - 5ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2220 - val_categorical_accuracy: 0.9580 - 672ms/epoch - 5ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2215 - val_categorical_accuracy: 0.9587 - 654ms/epoch - 5ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.5050 - val_categorical_accuracy: 0.9105 - 671ms/epoch - 5ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.1861 - categorical_accuracy: 0.9522 - val_loss: 0.2042 - val_categorical_accuracy: 0.9571 - 670ms/epoch - 5ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9865 - val_loss: 0.2053 - val_categorical_accuracy: 0.9600 - 656ms/epoch - 5ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9878 - val_loss: 0.2303 - val_categorical_accuracy: 0.9535 - 669ms/epoch - 5ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9883 - val_loss: 0.2219 - val_categorical_accuracy: 0.9580 - 683ms/epoch - 5ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2188 - val_categorical_accuracy: 0.9609 - 648ms/epoch - 5ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2300 - val_categorical_accuracy: 0.9563 - 672ms/epoch - 5ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2169 - val_categorical_accuracy: 0.9617 - 671ms/epoch - 5ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2245 - val_categorical_accuracy: 0.9609 - 655ms/epoch - 5ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2338 - val_categorical_accuracy: 0.9558 - 669ms/epoch - 5ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2310 - val_categorical_accuracy: 0.9581 - 670ms/epoch - 5ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2332 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2296 - val_categorical_accuracy: 0.9573 - 686ms/epoch - 5ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2403 - val_categorical_accuracy: 0.9559 - 711ms/epoch - 5ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2298 - val_categorical_accuracy: 0.9597 - 655ms/epoch - 5ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2386 - val_categorical_accuracy: 0.9588 - 656ms/epoch - 5ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9797 - val_loss: 0.2238 - val_categorical_accuracy: 0.9561 - 670ms/epoch - 5ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.2158 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9882 - val_loss: 0.2270 - val_categorical_accuracy: 0.9590 - 686ms/epoch - 5ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2363 - val_categorical_accuracy: 0.9583 - 671ms/epoch - 5ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2267 - val_categorical_accuracy: 0.9609 - 648ms/epoch - 5ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2289 - val_categorical_accuracy: 0.9574 - 655ms/epoch - 5ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2484 - val_categorical_accuracy: 0.9559 - 700ms/epoch - 5ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2539 - val_categorical_accuracy: 0.9517 - 653ms/epoch - 5ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.2396 - val_categorical_accuracy: 0.9573 - 671ms/epoch - 5ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2315 - val_categorical_accuracy: 0.9575 - 687ms/epoch - 5ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9875 - val_loss: 0.2292 - val_categorical_accuracy: 0.9604 - 652ms/epoch - 5ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2480 - val_categorical_accuracy: 0.9548 - 671ms/epoch - 5ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2301 - val_categorical_accuracy: 0.9592 - 683ms/epoch - 5ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2355 - val_categorical_accuracy: 0.9580 - 655ms/epoch - 5ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2352 - val_categorical_accuracy: 0.9570 - 654ms/epoch - 5ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9883 - val_loss: 0.2291 - val_categorical_accuracy: 0.9604 - 670ms/epoch - 5ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2342 - val_categorical_accuracy: 0.9575 - 669ms/epoch - 5ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2690 - val_categorical_accuracy: 0.9508 - 672ms/epoch - 5ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2347 - val_categorical_accuracy: 0.9587 - 685ms/epoch - 5ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9879 - val_loss: 0.2658 - val_categorical_accuracy: 0.9544 - 653ms/epoch - 5ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2725 - val_categorical_accuracy: 0.9525 - 668ms/epoch - 5ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0883 - categorical_accuracy: 0.9771 - val_loss: 0.2132 - val_categorical_accuracy: 0.9604 - 671ms/epoch - 5ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2203 - val_categorical_accuracy: 0.9585 - 654ms/epoch - 5ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2241 - val_categorical_accuracy: 0.9598 - 637ms/epoch - 5ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2297 - val_categorical_accuracy: 0.9590 - 684ms/epoch - 5ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2549 - val_categorical_accuracy: 0.9524 - 656ms/epoch - 5ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9811 - val_loss: 0.2468 - val_categorical_accuracy: 0.9561 - 671ms/epoch - 5ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2292 - val_categorical_accuracy: 0.9591 - 668ms/epoch - 5ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2291 - val_categorical_accuracy: 0.9601 - 639ms/epoch - 5ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2286 - val_categorical_accuracy: 0.9603 - 655ms/epoch - 5ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2440 - val_categorical_accuracy: 0.9573 - 686ms/epoch - 5ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2391 - val_categorical_accuracy: 0.9556 - 655ms/epoch - 5ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2478 - val_categorical_accuracy: 0.9566 - 672ms/epoch - 5ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2316 - val_categorical_accuracy: 0.9586 - 672ms/epoch - 5ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.2776 - val_categorical_accuracy: 0.9481 - 651ms/epoch - 5ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2333 - val_categorical_accuracy: 0.9593 - 670ms/epoch - 5ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2309 - val_categorical_accuracy: 0.9585 - 670ms/epoch - 5ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2409 - val_categorical_accuracy: 0.9596 - 649ms/epoch - 5ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2288 - val_categorical_accuracy: 0.9599 - 654ms/epoch - 5ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2376 - val_categorical_accuracy: 0.9582 - 669ms/epoch - 5ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.2390 - val_categorical_accuracy: 0.9592 - 670ms/epoch - 5ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2445 - val_categorical_accuracy: 0.9573 - 672ms/epoch - 5ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2425 - val_categorical_accuracy: 0.9572 - 685ms/epoch - 5ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2433 - val_categorical_accuracy: 0.9598 - 729ms/epoch - 5ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2428 - val_categorical_accuracy: 0.9592 - 677ms/epoch - 5ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2445 - val_categorical_accuracy: 0.9585 - 666ms/epoch - 5ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2451 - val_categorical_accuracy: 0.9572 - 651ms/epoch - 5ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2426 - val_categorical_accuracy: 0.9595 - 651ms/epoch - 5ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2419 - val_categorical_accuracy: 0.9588 - 670ms/epoch - 5ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2609 - val_categorical_accuracy: 0.9565 - 649ms/epoch - 5ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.1778 - categorical_accuracy: 0.9529 - val_loss: 0.2157 - val_categorical_accuracy: 0.9452 - 648ms/epoch - 5ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.2105 - val_categorical_accuracy: 0.9586 - 673ms/epoch - 5ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2106 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9883 - val_loss: 0.2217 - val_categorical_accuracy: 0.9603 - 680ms/epoch - 5ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2177 - val_categorical_accuracy: 0.9613 - 680ms/epoch - 5ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2340 - val_categorical_accuracy: 0.9575 - 655ms/epoch - 5ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2300 - val_categorical_accuracy: 0.9585 - 670ms/epoch - 5ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2404 - val_categorical_accuracy: 0.9574 - 660ms/epoch - 5ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2484 - val_categorical_accuracy: 0.9539 - 640ms/epoch - 5ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2382 - val_categorical_accuracy: 0.9571 - 680ms/epoch - 5ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2411 - val_categorical_accuracy: 0.9552 - 650ms/epoch - 5ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2523 - val_categorical_accuracy: 0.9555 - 640ms/epoch - 5ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2583 - val_categorical_accuracy: 0.9531 - 689ms/epoch - 5ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2264 - val_categorical_accuracy: 0.9596 - 650ms/epoch - 5ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2294 - val_categorical_accuracy: 0.9616 - 649ms/epoch - 5ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2299 - val_categorical_accuracy: 0.9600 - 676ms/epoch - 5ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2505 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2389 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2525 - val_categorical_accuracy: 0.9543 - 670ms/epoch - 5ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2408 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2342 - val_categorical_accuracy: 0.9585 - 650ms/epoch - 5ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2410 - val_categorical_accuracy: 0.9595 - 650ms/epoch - 5ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2424 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2567 - val_categorical_accuracy: 0.9568 - 660ms/epoch - 5ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.3064 - val_categorical_accuracy: 0.9435 - 660ms/epoch - 5ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2462 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2684 - val_categorical_accuracy: 0.9510 - 670ms/epoch - 5ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0824 - categorical_accuracy: 0.9781 - val_loss: 0.2453 - val_categorical_accuracy: 0.9540 - 660ms/epoch - 5ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2418 - val_categorical_accuracy: 0.9556 - 640ms/epoch - 5ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2406 - val_categorical_accuracy: 0.9597 - 670ms/epoch - 5ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2297 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2388 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2307 - val_categorical_accuracy: 0.9619 - 680ms/epoch - 5ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2366 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2311 - val_categorical_accuracy: 0.9615 - 650ms/epoch - 5ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2393 - val_categorical_accuracy: 0.9592 - 660ms/epoch - 5ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2349 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2443 - val_categorical_accuracy: 0.9600 - 650ms/epoch - 5ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2491 - val_categorical_accuracy: 0.9594 - 670ms/epoch - 5ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2425 - val_categorical_accuracy: 0.9580 - 640ms/epoch - 5ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0941 - categorical_accuracy: 0.9764 - val_loss: 0.2208 - val_categorical_accuracy: 0.9467 - 650ms/epoch - 5ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2156 - val_categorical_accuracy: 0.9609 - 660ms/epoch - 5ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9885 - val_loss: 0.2237 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2243 - val_categorical_accuracy: 0.9599 - 650ms/epoch - 5ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2238 - val_categorical_accuracy: 0.9619 - 650ms/epoch - 5ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2296 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2435 - val_categorical_accuracy: 0.9586 - 660ms/epoch - 5ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2827 - val_categorical_accuracy: 0.9471 - 650ms/epoch - 5ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2419 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2318 - val_categorical_accuracy: 0.9606 - 670ms/epoch - 5ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2328 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2329 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2364 - val_categorical_accuracy: 0.9579 - 680ms/epoch - 5ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2605 - val_categorical_accuracy: 0.9553 - 640ms/epoch - 5ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9845 - val_loss: 1.1265 - val_categorical_accuracy: 0.7974 - 640ms/epoch - 5ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9787 - val_loss: 0.2188 - val_categorical_accuracy: 0.9588 - 853ms/epoch - 6ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9885 - val_loss: 0.2495 - val_categorical_accuracy: 0.9545 - 670ms/epoch - 5ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2271 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2309 - val_categorical_accuracy: 0.9595 - 660ms/epoch - 5ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2310 - val_categorical_accuracy: 0.9613 - 680ms/epoch - 5ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2943 - val_categorical_accuracy: 0.9408 - 640ms/epoch - 5ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.1225 - categorical_accuracy: 0.9687 - val_loss: 0.2212 - val_categorical_accuracy: 0.9565 - 680ms/epoch - 5ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9887 - val_loss: 0.2180 - val_categorical_accuracy: 0.9603 - 650ms/epoch - 5ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2260 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2284 - val_categorical_accuracy: 0.9578 - 670ms/epoch - 5ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2340 - val_categorical_accuracy: 0.9586 - 650ms/epoch - 5ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2276 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2275 - val_categorical_accuracy: 0.9602 - 670ms/epoch - 5ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2331 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2423 - val_categorical_accuracy: 0.9553 - 640ms/epoch - 5ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2953 - val_categorical_accuracy: 0.9451 - 690ms/epoch - 5ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2313 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2352 - val_categorical_accuracy: 0.9569 - 650ms/epoch - 5ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2628 - val_categorical_accuracy: 0.9516 - 680ms/epoch - 5ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2286 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2358 - val_categorical_accuracy: 0.9585 - 660ms/epoch - 5ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2360 - val_categorical_accuracy: 0.9595 - 670ms/epoch - 5ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2458 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2675 - val_categorical_accuracy: 0.9490 - 650ms/epoch - 5ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2514 - val_categorical_accuracy: 0.9549 - 660ms/epoch - 5ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9800 - val_loss: 0.2353 - val_categorical_accuracy: 0.9572 - 650ms/epoch - 5ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2266 - val_categorical_accuracy: 0.9608 - 660ms/epoch - 5ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2315 - val_categorical_accuracy: 0.9612 - 660ms/epoch - 5ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2582 - val_categorical_accuracy: 0.9550 - 640ms/epoch - 5ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2443 - val_categorical_accuracy: 0.9591 - 660ms/epoch - 5ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2359 - val_categorical_accuracy: 0.9594 - 670ms/epoch - 5ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2349 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2440 - val_categorical_accuracy: 0.9562 - 660ms/epoch - 5ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9806 - val_loss: 0.3788 - val_categorical_accuracy: 0.8864 - 660ms/epoch - 5ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9811 - val_loss: 0.2107 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9888 - val_loss: 0.2509 - val_categorical_accuracy: 0.9538 - 680ms/epoch - 5ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2270 - val_categorical_accuracy: 0.9592 - 650ms/epoch - 5ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2246 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2209 - val_categorical_accuracy: 0.9617 - 680ms/epoch - 5ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2530 - val_categorical_accuracy: 0.9581 - 680ms/epoch - 5ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2373 - val_categorical_accuracy: 0.9594 - 670ms/epoch - 5ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2546 - val_categorical_accuracy: 0.9536 - 680ms/epoch - 5ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2309 - val_categorical_accuracy: 0.9596 - 650ms/epoch - 5ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2459 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2471 - val_categorical_accuracy: 0.9563 - 680ms/epoch - 5ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2476 - val_categorical_accuracy: 0.9566 - 650ms/epoch - 5ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2398 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2397 - val_categorical_accuracy: 0.9595 - 670ms/epoch - 5ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2354 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2517 - val_categorical_accuracy: 0.9594 - 650ms/epoch - 5ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2501 - val_categorical_accuracy: 0.9571 - 670ms/epoch - 5ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2406 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2678 - val_categorical_accuracy: 0.9553 - 650ms/epoch - 5ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2631 - val_categorical_accuracy: 0.9553 - 670ms/epoch - 5ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.1409 - categorical_accuracy: 0.9656 - val_loss: 0.2207 - val_categorical_accuracy: 0.9474 - 640ms/epoch - 5ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.2150 - val_categorical_accuracy: 0.9600 - 650ms/epoch - 5ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2245 - val_categorical_accuracy: 0.9604 - 660ms/epoch - 5ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2960 - val_categorical_accuracy: 0.9479 - 640ms/epoch - 5ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9829 - val_loss: 0.2344 - val_categorical_accuracy: 0.9589 - 650ms/epoch - 5ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9890 - val_loss: 0.2205 - val_categorical_accuracy: 0.9607 - 650ms/epoch - 5ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2263 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2278 - val_categorical_accuracy: 0.9580 - 660ms/epoch - 5ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9887 - val_loss: 0.2335 - val_categorical_accuracy: 0.9572 - 660ms/epoch - 5ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2370 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9891 - val_loss: 0.2466 - val_categorical_accuracy: 0.9586 - 670ms/epoch - 5ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2430 - val_categorical_accuracy: 0.9583 - 660ms/epoch - 5ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2428 - val_categorical_accuracy: 0.9555 - 640ms/epoch - 5ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2406 - val_categorical_accuracy: 0.9561 - 670ms/epoch - 5ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2443 - val_categorical_accuracy: 0.9591 - 660ms/epoch - 5ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2917 - val_categorical_accuracy: 0.9440 - 630ms/epoch - 4ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2440 - val_categorical_accuracy: 0.9593 - 680ms/epoch - 5ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2591 - val_categorical_accuracy: 0.9534 - 650ms/epoch - 5ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2453 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2449 - val_categorical_accuracy: 0.9585 - 680ms/epoch - 5ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2469 - val_categorical_accuracy: 0.9571 - 650ms/epoch - 5ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2467 - val_categorical_accuracy: 0.9585 - 650ms/epoch - 5ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2470 - val_categorical_accuracy: 0.9558 - 670ms/epoch - 5ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2422 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2416 - val_categorical_accuracy: 0.9583 - 650ms/epoch - 5ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2390 - val_categorical_accuracy: 0.9603 - 670ms/epoch - 5ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2401 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2425 - val_categorical_accuracy: 0.9595 - 650ms/epoch - 5ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2558 - val_categorical_accuracy: 0.9586 - 660ms/epoch - 5ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2722 - val_categorical_accuracy: 0.9537 - 640ms/epoch - 5ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2504 - val_categorical_accuracy: 0.9586 - 660ms/epoch - 5ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0685 - categorical_accuracy: 0.9809 - val_loss: 0.2463 - val_categorical_accuracy: 0.9469 - 660ms/epoch - 5ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2402 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2388 - val_categorical_accuracy: 0.9589 - 670ms/epoch - 5ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9891 - val_loss: 0.2479 - val_categorical_accuracy: 0.9565 - 660ms/epoch - 5ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0816 - categorical_accuracy: 0.9775 - val_loss: 0.2269 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2339 - val_categorical_accuracy: 0.9607 - 660ms/epoch - 5ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9892 - val_loss: 0.2336 - val_categorical_accuracy: 0.9583 - 650ms/epoch - 5ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2303 - val_categorical_accuracy: 0.9602 - 647ms/epoch - 5ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2420 - val_categorical_accuracy: 0.9562 - 670ms/epoch - 5ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2459 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2815 - val_categorical_accuracy: 0.9527 - 640ms/epoch - 5ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2423 - val_categorical_accuracy: 0.9579 - 680ms/epoch - 5ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2431 - val_categorical_accuracy: 0.9600 - 650ms/epoch - 5ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2512 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2420 - val_categorical_accuracy: 0.9574 - 670ms/epoch - 5ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2376 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2426 - val_categorical_accuracy: 0.9590 - 650ms/epoch - 5ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2423 - val_categorical_accuracy: 0.9584 - 670ms/epoch - 5ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2476 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2494 - val_categorical_accuracy: 0.9571 - 650ms/epoch - 5ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2493 - val_categorical_accuracy: 0.9597 - 670ms/epoch - 5ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2441 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2453 - val_categorical_accuracy: 0.9594 - 650ms/epoch - 5ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2345 - val_categorical_accuracy: 0.9621 - 670ms/epoch - 5ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2637 - val_categorical_accuracy: 0.9561 - 640ms/epoch - 5ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2468 - val_categorical_accuracy: 0.9589 - 660ms/epoch - 5ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2624 - val_categorical_accuracy: 0.9586 - 660ms/epoch - 5ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.2452 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2533 - val_categorical_accuracy: 0.9574 - 660ms/epoch - 5ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2688 - val_categorical_accuracy: 0.9545 - 650ms/epoch - 5ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2463 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2630 - val_categorical_accuracy: 0.9531 - 680ms/epoch - 5ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2662 - val_categorical_accuracy: 0.9558 - 650ms/epoch - 5ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2470 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2546 - val_categorical_accuracy: 0.9579 - 670ms/epoch - 5ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2438 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2722 - val_categorical_accuracy: 0.9511 - 650ms/epoch - 5ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9881 - val_loss: 0.2604 - val_categorical_accuracy: 0.9583 - 680ms/epoch - 5ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2539 - val_categorical_accuracy: 0.9570 - 660ms/epoch - 5ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2589 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2649 - val_categorical_accuracy: 0.9589 - 670ms/epoch - 5ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2717 - val_categorical_accuracy: 0.9538 - 640ms/epoch - 5ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2798 - val_categorical_accuracy: 0.9552 - 640ms/epoch - 5ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9884 - val_loss: 0.2504 - val_categorical_accuracy: 0.9597 - 680ms/epoch - 5ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2695 - val_categorical_accuracy: 0.9549 - 650ms/epoch - 5ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2584 - val_categorical_accuracy: 0.9572 - 650ms/epoch - 5ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2585 - val_categorical_accuracy: 0.9566 - 700ms/epoch - 5ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2439 - val_categorical_accuracy: 0.9594 - 660ms/epoch - 5ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2477 - val_categorical_accuracy: 0.9605 - 660ms/epoch - 5ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2472 - val_categorical_accuracy: 0.9599 - 680ms/epoch - 5ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2774 - val_categorical_accuracy: 0.9524 - 640ms/epoch - 5ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2794 - val_categorical_accuracy: 0.9563 - 650ms/epoch - 5ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2596 - val_categorical_accuracy: 0.9595 - 670ms/epoch - 5ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.2077 - categorical_accuracy: 0.9466 - val_loss: 0.2230 - val_categorical_accuracy: 0.9488 - 630ms/epoch - 4ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9836 - val_loss: 0.2284 - val_categorical_accuracy: 0.9560 - 660ms/epoch - 5ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.2311 - val_categorical_accuracy: 0.9598 - 680ms/epoch - 5ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2319 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2464 - val_categorical_accuracy: 0.9572 - 660ms/epoch - 5ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2404 - val_categorical_accuracy: 0.9589 - 670ms/epoch - 5ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2446 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2485 - val_categorical_accuracy: 0.9550 - 660ms/epoch - 5ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2469 - val_categorical_accuracy: 0.9573 - 660ms/epoch - 5ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2482 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2541 - val_categorical_accuracy: 0.9582 - 670ms/epoch - 5ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2503 - val_categorical_accuracy: 0.9555 - 670ms/epoch - 5ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2526 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2458 - val_categorical_accuracy: 0.9581 - 670ms/epoch - 5ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2508 - val_categorical_accuracy: 0.9601 - 650ms/epoch - 5ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2464 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2479 - val_categorical_accuracy: 0.9600 - 680ms/epoch - 5ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2768 - val_categorical_accuracy: 0.9542 - 650ms/epoch - 5ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2913 - val_categorical_accuracy: 0.9476 - 640ms/epoch - 5ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0968 - categorical_accuracy: 0.9752 - val_loss: 0.2190 - val_categorical_accuracy: 0.9619 - 680ms/epoch - 5ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2249 - val_categorical_accuracy: 0.9594 - 650ms/epoch - 5ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9895 - val_loss: 0.2326 - val_categorical_accuracy: 0.9616 - 650ms/epoch - 5ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2324 - val_categorical_accuracy: 0.9597 - 670ms/epoch - 5ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2535 - val_categorical_accuracy: 0.9550 - 640ms/epoch - 5ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2391 - val_categorical_accuracy: 0.9582 - 650ms/epoch - 5ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2527 - val_categorical_accuracy: 0.9566 - 680ms/epoch - 5ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2434 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2431 - val_categorical_accuracy: 0.9595 - 650ms/epoch - 5ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2539 - val_categorical_accuracy: 0.9577 - 670ms/epoch - 5ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2513 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2485 - val_categorical_accuracy: 0.9595 - 660ms/epoch - 5ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2651 - val_categorical_accuracy: 0.9562 - 670ms/epoch - 5ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2468 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
processing fold # 6 
Epoch 1/1500

WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0032s). Check your callbacks.

141/141 - 1s - loss: 1.9781 - categorical_accuracy: 0.2617 - val_loss: 2.3574 - val_categorical_accuracy: 0.1307 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.6558 - categorical_accuracy: 0.3840 - val_loss: 1.3890 - val_categorical_accuracy: 0.4717 - 620ms/epoch - 4ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3348 - categorical_accuracy: 0.4922 - val_loss: 1.2127 - val_categorical_accuracy: 0.5323 - 610ms/epoch - 4ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1919 - categorical_accuracy: 0.5511 - val_loss: 1.0710 - val_categorical_accuracy: 0.5854 - 610ms/epoch - 4ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.1919 - categorical_accuracy: 0.5643 - val_loss: 1.2738 - val_categorical_accuracy: 0.5517 - 610ms/epoch - 4ms/step
Epoch 6/1500
141/141 - 1s - loss: 1.0562 - categorical_accuracy: 0.6069 - val_loss: 0.9403 - val_categorical_accuracy: 0.6386 - 610ms/epoch - 4ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.9009 - categorical_accuracy: 0.6599 - val_loss: 0.8775 - val_categorical_accuracy: 0.6594 - 620ms/epoch - 4ms/step
Epoch 8/1500
141/141 - 1s - loss: 1.6368 - categorical_accuracy: 0.4404 - val_loss: 1.3423 - val_categorical_accuracy: 0.4953 - 610ms/epoch - 4ms/step
Epoch 9/1500
141/141 - 1s - loss: 1.1758 - categorical_accuracy: 0.5594 - val_loss: 0.9929 - val_categorical_accuracy: 0.6255 - 610ms/epoch - 4ms/step
Epoch 10/1500
141/141 - 1s - loss: 1.0440 - categorical_accuracy: 0.6176 - val_loss: 0.8649 - val_categorical_accuracy: 0.6721 - 620ms/epoch - 4ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.8672 - categorical_accuracy: 0.6727 - val_loss: 0.7922 - val_categorical_accuracy: 0.6970 - 610ms/epoch - 4ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.7900 - categorical_accuracy: 0.7037 - val_loss: 0.7528 - val_categorical_accuracy: 0.7115 - 620ms/epoch - 4ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.7237 - categorical_accuracy: 0.7264 - val_loss: 0.7005 - val_categorical_accuracy: 0.7378 - 610ms/epoch - 4ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.7288 - categorical_accuracy: 0.7341 - val_loss: 0.6053 - val_categorical_accuracy: 0.7731 - 620ms/epoch - 4ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.6215 - categorical_accuracy: 0.7646 - val_loss: 0.9672 - val_categorical_accuracy: 0.6750 - 620ms/epoch - 4ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.7272 - categorical_accuracy: 0.7450 - val_loss: 0.5997 - val_categorical_accuracy: 0.7735 - 610ms/epoch - 4ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5801 - categorical_accuracy: 0.7835 - val_loss: 0.5668 - val_categorical_accuracy: 0.7875 - 620ms/epoch - 4ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.7586 - categorical_accuracy: 0.7406 - val_loss: 0.7993 - val_categorical_accuracy: 0.7120 - 610ms/epoch - 4ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.5992 - categorical_accuracy: 0.7796 - val_loss: 0.5532 - val_categorical_accuracy: 0.7984 - 610ms/epoch - 4ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.5196 - categorical_accuracy: 0.8057 - val_loss: 0.5156 - val_categorical_accuracy: 0.8062 - 610ms/epoch - 4ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.5025 - categorical_accuracy: 0.8137 - val_loss: 0.4837 - val_categorical_accuracy: 0.8184 - 610ms/epoch - 4ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.5738 - categorical_accuracy: 0.8018 - val_loss: 0.4799 - val_categorical_accuracy: 0.8256 - 620ms/epoch - 4ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4596 - categorical_accuracy: 0.8288 - val_loss: 0.4654 - val_categorical_accuracy: 0.8267 - 620ms/epoch - 4ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.4861 - categorical_accuracy: 0.8261 - val_loss: 0.6069 - val_categorical_accuracy: 0.7778 - 610ms/epoch - 4ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.4302 - categorical_accuracy: 0.8415 - val_loss: 0.6378 - val_categorical_accuracy: 0.7745 - 610ms/epoch - 4ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.4322 - categorical_accuracy: 0.8429 - val_loss: 0.4158 - val_categorical_accuracy: 0.8474 - 610ms/epoch - 4ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3963 - categorical_accuracy: 0.8544 - val_loss: 0.3737 - val_categorical_accuracy: 0.8652 - 620ms/epoch - 4ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.4852 - categorical_accuracy: 0.8362 - val_loss: 0.3980 - val_categorical_accuracy: 0.8551 - 610ms/epoch - 4ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.3950 - categorical_accuracy: 0.8577 - val_loss: 0.3693 - val_categorical_accuracy: 0.8652 - 610ms/epoch - 4ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3654 - categorical_accuracy: 0.8673 - val_loss: 0.3736 - val_categorical_accuracy: 0.8640 - 610ms/epoch - 4ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.3644 - categorical_accuracy: 0.8684 - val_loss: 0.3462 - val_categorical_accuracy: 0.8759 - 610ms/epoch - 4ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3743 - categorical_accuracy: 0.8657 - val_loss: 0.3621 - val_categorical_accuracy: 0.8708 - 610ms/epoch - 4ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3321 - categorical_accuracy: 0.8799 - val_loss: 0.3813 - val_categorical_accuracy: 0.8604 - 610ms/epoch - 4ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.3493 - categorical_accuracy: 0.8755 - val_loss: 0.3164 - val_categorical_accuracy: 0.8838 - 610ms/epoch - 4ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.3247 - categorical_accuracy: 0.8824 - val_loss: 0.3263 - val_categorical_accuracy: 0.8823 - 610ms/epoch - 4ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.3232 - categorical_accuracy: 0.8839 - val_loss: 0.4413 - val_categorical_accuracy: 0.8371 - 610ms/epoch - 4ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3200 - categorical_accuracy: 0.8855 - val_loss: 0.3604 - val_categorical_accuracy: 0.8714 - 610ms/epoch - 4ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2960 - categorical_accuracy: 0.8941 - val_loss: 0.2968 - val_categorical_accuracy: 0.8942 - 610ms/epoch - 4ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.3047 - categorical_accuracy: 0.8908 - val_loss: 0.2934 - val_categorical_accuracy: 0.8964 - 610ms/epoch - 4ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2913 - categorical_accuracy: 0.8956 - val_loss: 0.2887 - val_categorical_accuracy: 0.8971 - 610ms/epoch - 4ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2910 - categorical_accuracy: 0.8958 - val_loss: 0.4527 - val_categorical_accuracy: 0.8369 - 610ms/epoch - 4ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2775 - categorical_accuracy: 0.9017 - val_loss: 0.3069 - val_categorical_accuracy: 0.8854 - 610ms/epoch - 4ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.5467 - categorical_accuracy: 0.8330 - val_loss: 0.4671 - val_categorical_accuracy: 0.8360 - 610ms/epoch - 4ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.3434 - categorical_accuracy: 0.8783 - val_loss: 0.3132 - val_categorical_accuracy: 0.8893 - 780ms/epoch - 6ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2896 - categorical_accuracy: 0.8972 - val_loss: 0.3409 - val_categorical_accuracy: 0.8749 - 620ms/epoch - 4ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2704 - categorical_accuracy: 0.9043 - val_loss: 0.2978 - val_categorical_accuracy: 0.8930 - 620ms/epoch - 4ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2948 - categorical_accuracy: 0.8983 - val_loss: 0.2811 - val_categorical_accuracy: 0.8985 - 620ms/epoch - 4ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2591 - categorical_accuracy: 0.9079 - val_loss: 0.3814 - val_categorical_accuracy: 0.8690 - 620ms/epoch - 4ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2555 - categorical_accuracy: 0.9104 - val_loss: 0.2665 - val_categorical_accuracy: 0.9058 - 620ms/epoch - 4ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2408 - categorical_accuracy: 0.9144 - val_loss: 0.2940 - val_categorical_accuracy: 0.8910 - 620ms/epoch - 4ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.3254 - categorical_accuracy: 0.8943 - val_loss: 0.3118 - val_categorical_accuracy: 0.8934 - 620ms/epoch - 4ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2360 - categorical_accuracy: 0.9170 - val_loss: 0.4307 - val_categorical_accuracy: 0.8538 - 630ms/epoch - 4ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2343 - categorical_accuracy: 0.9176 - val_loss: 0.2517 - val_categorical_accuracy: 0.9106 - 620ms/epoch - 4ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2254 - categorical_accuracy: 0.9208 - val_loss: 0.2797 - val_categorical_accuracy: 0.9033 - 640ms/epoch - 5ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2279 - categorical_accuracy: 0.9195 - val_loss: 0.2798 - val_categorical_accuracy: 0.9016 - 640ms/epoch - 5ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2232 - categorical_accuracy: 0.9208 - val_loss: 0.2442 - val_categorical_accuracy: 0.9156 - 630ms/epoch - 4ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2545 - categorical_accuracy: 0.9149 - val_loss: 0.2390 - val_categorical_accuracy: 0.9171 - 620ms/epoch - 4ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2118 - categorical_accuracy: 0.9259 - val_loss: 0.2367 - val_categorical_accuracy: 0.9160 - 620ms/epoch - 4ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.2170 - categorical_accuracy: 0.9240 - val_loss: 0.3202 - val_categorical_accuracy: 0.8869 - 620ms/epoch - 4ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2068 - categorical_accuracy: 0.9269 - val_loss: 0.4132 - val_categorical_accuracy: 0.8638 - 620ms/epoch - 4ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.2350 - categorical_accuracy: 0.9205 - val_loss: 0.2292 - val_categorical_accuracy: 0.9199 - 620ms/epoch - 4ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.3551 - categorical_accuracy: 0.8929 - val_loss: 0.2469 - val_categorical_accuracy: 0.9131 - 620ms/epoch - 4ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1976 - categorical_accuracy: 0.9313 - val_loss: 0.2280 - val_categorical_accuracy: 0.9197 - 620ms/epoch - 4ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1935 - categorical_accuracy: 0.9324 - val_loss: 0.2389 - val_categorical_accuracy: 0.9153 - 620ms/epoch - 4ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.2292 - categorical_accuracy: 0.9223 - val_loss: 0.2532 - val_categorical_accuracy: 0.9113 - 620ms/epoch - 4ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1912 - categorical_accuracy: 0.9333 - val_loss: 0.2319 - val_categorical_accuracy: 0.9177 - 620ms/epoch - 4ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1852 - categorical_accuracy: 0.9349 - val_loss: 0.2563 - val_categorical_accuracy: 0.9112 - 620ms/epoch - 4ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.2015 - categorical_accuracy: 0.9300 - val_loss: 0.2325 - val_categorical_accuracy: 0.9186 - 620ms/epoch - 4ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1827 - categorical_accuracy: 0.9363 - val_loss: 0.2010 - val_categorical_accuracy: 0.9306 - 610ms/epoch - 4ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.2148 - categorical_accuracy: 0.9285 - val_loss: 0.2048 - val_categorical_accuracy: 0.9280 - 620ms/epoch - 4ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1781 - categorical_accuracy: 0.9381 - val_loss: 0.2040 - val_categorical_accuracy: 0.9288 - 620ms/epoch - 4ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.2092 - categorical_accuracy: 0.9293 - val_loss: 0.1965 - val_categorical_accuracy: 0.9316 - 620ms/epoch - 4ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1763 - categorical_accuracy: 0.9386 - val_loss: 0.3688 - val_categorical_accuracy: 0.8726 - 620ms/epoch - 4ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1822 - categorical_accuracy: 0.9365 - val_loss: 0.1937 - val_categorical_accuracy: 0.9339 - 620ms/epoch - 4ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1706 - categorical_accuracy: 0.9400 - val_loss: 0.2216 - val_categorical_accuracy: 0.9224 - 620ms/epoch - 4ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1897 - categorical_accuracy: 0.9366 - val_loss: 0.2261 - val_categorical_accuracy: 0.9179 - 620ms/epoch - 4ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1762 - categorical_accuracy: 0.9386 - val_loss: 0.2185 - val_categorical_accuracy: 0.9244 - 620ms/epoch - 4ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1631 - categorical_accuracy: 0.9432 - val_loss: 0.1928 - val_categorical_accuracy: 0.9334 - 620ms/epoch - 4ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.5305 - categorical_accuracy: 0.8451 - val_loss: 0.2544 - val_categorical_accuracy: 0.9104 - 620ms/epoch - 4ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1711 - categorical_accuracy: 0.9415 - val_loss: 0.2013 - val_categorical_accuracy: 0.9313 - 620ms/epoch - 4ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1611 - categorical_accuracy: 0.9440 - val_loss: 0.2057 - val_categorical_accuracy: 0.9286 - 620ms/epoch - 4ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1889 - categorical_accuracy: 0.9368 - val_loss: 0.2073 - val_categorical_accuracy: 0.9282 - 620ms/epoch - 4ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1564 - categorical_accuracy: 0.9456 - val_loss: 0.1905 - val_categorical_accuracy: 0.9351 - 620ms/epoch - 4ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1656 - categorical_accuracy: 0.9432 - val_loss: 0.2006 - val_categorical_accuracy: 0.9304 - 610ms/epoch - 4ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1730 - categorical_accuracy: 0.9415 - val_loss: 0.2196 - val_categorical_accuracy: 0.9225 - 620ms/epoch - 4ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1542 - categorical_accuracy: 0.9465 - val_loss: 0.2161 - val_categorical_accuracy: 0.9256 - 630ms/epoch - 4ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1517 - categorical_accuracy: 0.9472 - val_loss: 0.1881 - val_categorical_accuracy: 0.9359 - 620ms/epoch - 4ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1820 - categorical_accuracy: 0.9402 - val_loss: 0.2019 - val_categorical_accuracy: 0.9292 - 630ms/epoch - 4ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1541 - categorical_accuracy: 0.9471 - val_loss: 0.2020 - val_categorical_accuracy: 0.9288 - 620ms/epoch - 4ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1616 - categorical_accuracy: 0.9446 - val_loss: 0.1882 - val_categorical_accuracy: 0.9341 - 620ms/epoch - 4ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1538 - categorical_accuracy: 0.9467 - val_loss: 0.2062 - val_categorical_accuracy: 0.9267 - 610ms/epoch - 4ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1409 - categorical_accuracy: 0.9512 - val_loss: 0.2073 - val_categorical_accuracy: 0.9281 - 620ms/epoch - 4ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1757 - categorical_accuracy: 0.9427 - val_loss: 0.2267 - val_categorical_accuracy: 0.9235 - 620ms/epoch - 4ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1406 - categorical_accuracy: 0.9514 - val_loss: 0.1857 - val_categorical_accuracy: 0.9373 - 610ms/epoch - 4ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1952 - categorical_accuracy: 0.9387 - val_loss: 0.1928 - val_categorical_accuracy: 0.9356 - 610ms/epoch - 4ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1896 - categorical_accuracy: 0.9403 - val_loss: 0.2093 - val_categorical_accuracy: 0.9281 - 620ms/epoch - 4ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1370 - categorical_accuracy: 0.9530 - val_loss: 0.2059 - val_categorical_accuracy: 0.9298 - 620ms/epoch - 4ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1423 - categorical_accuracy: 0.9508 - val_loss: 0.1774 - val_categorical_accuracy: 0.9372 - 620ms/epoch - 4ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1692 - categorical_accuracy: 0.9441 - val_loss: 0.1895 - val_categorical_accuracy: 0.9359 - 620ms/epoch - 4ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1319 - categorical_accuracy: 0.9542 - val_loss: 0.2496 - val_categorical_accuracy: 0.9171 - 610ms/epoch - 4ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1391 - categorical_accuracy: 0.9520 - val_loss: 0.2027 - val_categorical_accuracy: 0.9311 - 610ms/epoch - 4ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1357 - categorical_accuracy: 0.9535 - val_loss: 0.1863 - val_categorical_accuracy: 0.9375 - 620ms/epoch - 4ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1402 - categorical_accuracy: 0.9520 - val_loss: 0.1843 - val_categorical_accuracy: 0.9378 - 620ms/epoch - 4ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1704 - categorical_accuracy: 0.9459 - val_loss: 0.1836 - val_categorical_accuracy: 0.9390 - 620ms/epoch - 4ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1312 - categorical_accuracy: 0.9544 - val_loss: 0.1795 - val_categorical_accuracy: 0.9396 - 620ms/epoch - 4ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1771 - categorical_accuracy: 0.9440 - val_loss: 0.1825 - val_categorical_accuracy: 0.9383 - 610ms/epoch - 4ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1235 - categorical_accuracy: 0.9577 - val_loss: 0.1806 - val_categorical_accuracy: 0.9401 - 610ms/epoch - 4ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1278 - categorical_accuracy: 0.9556 - val_loss: 0.1698 - val_categorical_accuracy: 0.9433 - 620ms/epoch - 4ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1869 - categorical_accuracy: 0.9425 - val_loss: 0.1802 - val_categorical_accuracy: 0.9388 - 620ms/epoch - 4ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1232 - categorical_accuracy: 0.9577 - val_loss: 0.1845 - val_categorical_accuracy: 0.9381 - 620ms/epoch - 4ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1714 - categorical_accuracy: 0.9454 - val_loss: 0.1877 - val_categorical_accuracy: 0.9368 - 620ms/epoch - 4ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1190 - categorical_accuracy: 0.9597 - val_loss: 0.1686 - val_categorical_accuracy: 0.9448 - 610ms/epoch - 4ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1218 - categorical_accuracy: 0.9581 - val_loss: 0.2809 - val_categorical_accuracy: 0.9036 - 620ms/epoch - 4ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1237 - categorical_accuracy: 0.9569 - val_loss: 0.2224 - val_categorical_accuracy: 0.9246 - 620ms/epoch - 4ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1872 - categorical_accuracy: 0.9429 - val_loss: 0.1890 - val_categorical_accuracy: 0.9400 - 620ms/epoch - 4ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1338 - categorical_accuracy: 0.9555 - val_loss: 0.1925 - val_categorical_accuracy: 0.9358 - 610ms/epoch - 4ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1206 - categorical_accuracy: 0.9585 - val_loss: 0.1681 - val_categorical_accuracy: 0.9452 - 610ms/epoch - 4ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1180 - categorical_accuracy: 0.9593 - val_loss: 0.1773 - val_categorical_accuracy: 0.9424 - 620ms/epoch - 4ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1302 - categorical_accuracy: 0.9553 - val_loss: 0.1720 - val_categorical_accuracy: 0.9428 - 620ms/epoch - 4ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1148 - categorical_accuracy: 0.9607 - val_loss: 0.1858 - val_categorical_accuracy: 0.9387 - 620ms/epoch - 4ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1339 - categorical_accuracy: 0.9541 - val_loss: 0.1762 - val_categorical_accuracy: 0.9402 - 620ms/epoch - 4ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1151 - categorical_accuracy: 0.9604 - val_loss: 0.1987 - val_categorical_accuracy: 0.9336 - 620ms/epoch - 4ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1166 - categorical_accuracy: 0.9601 - val_loss: 0.1782 - val_categorical_accuracy: 0.9393 - 625ms/epoch - 4ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1477 - categorical_accuracy: 0.9527 - val_loss: 0.2989 - val_categorical_accuracy: 0.9091 - 610ms/epoch - 4ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1257 - categorical_accuracy: 0.9573 - val_loss: 0.1700 - val_categorical_accuracy: 0.9452 - 610ms/epoch - 4ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1112 - categorical_accuracy: 0.9620 - val_loss: 0.1797 - val_categorical_accuracy: 0.9405 - 610ms/epoch - 4ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1428 - categorical_accuracy: 0.9526 - val_loss: 0.1799 - val_categorical_accuracy: 0.9416 - 610ms/epoch - 4ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1099 - categorical_accuracy: 0.9625 - val_loss: 0.2095 - val_categorical_accuracy: 0.9319 - 620ms/epoch - 4ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1130 - categorical_accuracy: 0.9609 - val_loss: 0.1949 - val_categorical_accuracy: 0.9355 - 610ms/epoch - 4ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1087 - categorical_accuracy: 0.9629 - val_loss: 0.3727 - val_categorical_accuracy: 0.8974 - 610ms/epoch - 4ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1594 - categorical_accuracy: 0.9515 - val_loss: 0.1799 - val_categorical_accuracy: 0.9404 - 610ms/epoch - 4ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1080 - categorical_accuracy: 0.9630 - val_loss: 0.1741 - val_categorical_accuracy: 0.9436 - 620ms/epoch - 4ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1103 - categorical_accuracy: 0.9620 - val_loss: 0.1923 - val_categorical_accuracy: 0.9369 - 620ms/epoch - 4ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1930 - categorical_accuracy: 0.9433 - val_loss: 0.1809 - val_categorical_accuracy: 0.9410 - 610ms/epoch - 4ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1174 - categorical_accuracy: 0.9607 - val_loss: 0.3209 - val_categorical_accuracy: 0.8957 - 610ms/epoch - 4ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1075 - categorical_accuracy: 0.9635 - val_loss: 0.1720 - val_categorical_accuracy: 0.9440 - 610ms/epoch - 4ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1086 - categorical_accuracy: 0.9624 - val_loss: 0.1822 - val_categorical_accuracy: 0.9422 - 610ms/epoch - 4ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1062 - categorical_accuracy: 0.9634 - val_loss: 0.1858 - val_categorical_accuracy: 0.9413 - 620ms/epoch - 4ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.1038 - categorical_accuracy: 0.9639 - val_loss: 0.1791 - val_categorical_accuracy: 0.9440 - 610ms/epoch - 4ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.1418 - categorical_accuracy: 0.9540 - val_loss: 0.1537 - val_categorical_accuracy: 0.9501 - 610ms/epoch - 4ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1035 - categorical_accuracy: 0.9645 - val_loss: 0.1681 - val_categorical_accuracy: 0.9463 - 610ms/epoch - 4ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.1374 - categorical_accuracy: 0.9576 - val_loss: 0.9679 - val_categorical_accuracy: 0.7285 - 620ms/epoch - 4ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1172 - categorical_accuracy: 0.9606 - val_loss: 0.1704 - val_categorical_accuracy: 0.9425 - 610ms/epoch - 4ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.1005 - categorical_accuracy: 0.9655 - val_loss: 0.1816 - val_categorical_accuracy: 0.9397 - 610ms/epoch - 4ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0995 - categorical_accuracy: 0.9658 - val_loss: 0.2200 - val_categorical_accuracy: 0.9282 - 610ms/epoch - 4ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1255 - categorical_accuracy: 0.9599 - val_loss: 0.5282 - val_categorical_accuracy: 0.8493 - 610ms/epoch - 4ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1058 - categorical_accuracy: 0.9642 - val_loss: 0.1892 - val_categorical_accuracy: 0.9413 - 610ms/epoch - 4ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1004 - categorical_accuracy: 0.9659 - val_loss: 0.1680 - val_categorical_accuracy: 0.9459 - 610ms/epoch - 4ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.1102 - categorical_accuracy: 0.9628 - val_loss: 0.1713 - val_categorical_accuracy: 0.9457 - 630ms/epoch - 4ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.1093 - categorical_accuracy: 0.9626 - val_loss: 0.1652 - val_categorical_accuracy: 0.9472 - 610ms/epoch - 4ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0992 - categorical_accuracy: 0.9657 - val_loss: 0.1613 - val_categorical_accuracy: 0.9501 - 630ms/epoch - 4ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.1000 - categorical_accuracy: 0.9658 - val_loss: 0.2959 - val_categorical_accuracy: 0.9053 - 630ms/epoch - 4ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.1562 - categorical_accuracy: 0.9534 - val_loss: 0.1768 - val_categorical_accuracy: 0.9435 - 630ms/epoch - 4ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0983 - categorical_accuracy: 0.9665 - val_loss: 0.1787 - val_categorical_accuracy: 0.9443 - 620ms/epoch - 4ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9672 - val_loss: 0.1643 - val_categorical_accuracy: 0.9489 - 610ms/epoch - 4ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0929 - categorical_accuracy: 0.9682 - val_loss: 0.1628 - val_categorical_accuracy: 0.9484 - 610ms/epoch - 4ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.1248 - categorical_accuracy: 0.9598 - val_loss: 0.1707 - val_categorical_accuracy: 0.9444 - 610ms/epoch - 4ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0939 - categorical_accuracy: 0.9678 - val_loss: 0.1676 - val_categorical_accuracy: 0.9484 - 610ms/epoch - 4ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.1156 - categorical_accuracy: 0.9619 - val_loss: 0.1727 - val_categorical_accuracy: 0.9436 - 620ms/epoch - 4ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0924 - categorical_accuracy: 0.9682 - val_loss: 0.1724 - val_categorical_accuracy: 0.9457 - 610ms/epoch - 4ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0917 - categorical_accuracy: 0.9686 - val_loss: 0.1727 - val_categorical_accuracy: 0.9469 - 610ms/epoch - 4ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.1044 - categorical_accuracy: 0.9650 - val_loss: 0.1872 - val_categorical_accuracy: 0.9431 - 610ms/epoch - 4ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.1073 - categorical_accuracy: 0.9634 - val_loss: 0.1742 - val_categorical_accuracy: 0.9438 - 610ms/epoch - 4ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1169 - categorical_accuracy: 0.9618 - val_loss: 0.1822 - val_categorical_accuracy: 0.9397 - 620ms/epoch - 4ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0907 - categorical_accuracy: 0.9692 - val_loss: 0.1711 - val_categorical_accuracy: 0.9467 - 610ms/epoch - 4ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.2313 - categorical_accuracy: 0.9438 - val_loss: 0.6945 - val_categorical_accuracy: 0.7599 - 610ms/epoch - 4ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1714 - categorical_accuracy: 0.9405 - val_loss: 0.1616 - val_categorical_accuracy: 0.9462 - 610ms/epoch - 4ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0914 - categorical_accuracy: 0.9693 - val_loss: 0.1930 - val_categorical_accuracy: 0.9394 - 620ms/epoch - 4ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9688 - val_loss: 0.1763 - val_categorical_accuracy: 0.9441 - 620ms/epoch - 4ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9674 - val_loss: 0.2622 - val_categorical_accuracy: 0.9184 - 610ms/epoch - 4ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.1042 - categorical_accuracy: 0.9653 - val_loss: 0.1769 - val_categorical_accuracy: 0.9464 - 610ms/epoch - 4ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0903 - categorical_accuracy: 0.9690 - val_loss: 0.1612 - val_categorical_accuracy: 0.9490 - 610ms/epoch - 4ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0930 - categorical_accuracy: 0.9683 - val_loss: 0.2465 - val_categorical_accuracy: 0.9188 - 610ms/epoch - 4ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0974 - categorical_accuracy: 0.9670 - val_loss: 0.1715 - val_categorical_accuracy: 0.9478 - 620ms/epoch - 4ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.1184 - categorical_accuracy: 0.9607 - val_loss: 0.1569 - val_categorical_accuracy: 0.9512 - 610ms/epoch - 4ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0837 - categorical_accuracy: 0.9717 - val_loss: 0.1909 - val_categorical_accuracy: 0.9385 - 620ms/epoch - 4ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9692 - val_loss: 0.1597 - val_categorical_accuracy: 0.9499 - 610ms/epoch - 4ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0881 - categorical_accuracy: 0.9697 - val_loss: 0.1624 - val_categorical_accuracy: 0.9489 - 620ms/epoch - 4ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0894 - categorical_accuracy: 0.9694 - val_loss: 0.1577 - val_categorical_accuracy: 0.9497 - 620ms/epoch - 4ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.1058 - categorical_accuracy: 0.9650 - val_loss: 0.1611 - val_categorical_accuracy: 0.9488 - 610ms/epoch - 4ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0834 - categorical_accuracy: 0.9716 - val_loss: 0.1990 - val_categorical_accuracy: 0.9418 - 610ms/epoch - 4ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.1267 - categorical_accuracy: 0.9608 - val_loss: 0.1636 - val_categorical_accuracy: 0.9498 - 610ms/epoch - 4ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0812 - categorical_accuracy: 0.9724 - val_loss: 0.1654 - val_categorical_accuracy: 0.9486 - 610ms/epoch - 4ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.1535 - categorical_accuracy: 0.9550 - val_loss: 0.1590 - val_categorical_accuracy: 0.9489 - 610ms/epoch - 4ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9721 - val_loss: 0.1575 - val_categorical_accuracy: 0.9517 - 610ms/epoch - 4ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0828 - categorical_accuracy: 0.9719 - val_loss: 0.1632 - val_categorical_accuracy: 0.9496 - 610ms/epoch - 4ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0903 - categorical_accuracy: 0.9691 - val_loss: 0.1535 - val_categorical_accuracy: 0.9515 - 610ms/epoch - 4ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0826 - categorical_accuracy: 0.9718 - val_loss: 0.1812 - val_categorical_accuracy: 0.9418 - 610ms/epoch - 4ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.1028 - categorical_accuracy: 0.9666 - val_loss: 0.1566 - val_categorical_accuracy: 0.9521 - 610ms/epoch - 4ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0871 - categorical_accuracy: 0.9701 - val_loss: 0.2006 - val_categorical_accuracy: 0.9364 - 610ms/epoch - 4ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9719 - val_loss: 0.1531 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.1569 - categorical_accuracy: 0.9549 - val_loss: 0.1838 - val_categorical_accuracy: 0.9393 - 610ms/epoch - 4ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9705 - val_loss: 0.1761 - val_categorical_accuracy: 0.9422 - 610ms/epoch - 4ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9730 - val_loss: 0.1697 - val_categorical_accuracy: 0.9465 - 610ms/epoch - 4ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9723 - val_loss: 0.1621 - val_categorical_accuracy: 0.9525 - 610ms/epoch - 4ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0810 - categorical_accuracy: 0.9721 - val_loss: 0.1553 - val_categorical_accuracy: 0.9536 - 610ms/epoch - 4ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.2252 - categorical_accuracy: 0.9381 - val_loss: 0.1635 - val_categorical_accuracy: 0.9487 - 610ms/epoch - 4ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9728 - val_loss: 0.1651 - val_categorical_accuracy: 0.9484 - 620ms/epoch - 4ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9728 - val_loss: 0.3853 - val_categorical_accuracy: 0.8897 - 610ms/epoch - 4ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.1033 - categorical_accuracy: 0.9664 - val_loss: 0.1555 - val_categorical_accuracy: 0.9530 - 610ms/epoch - 4ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9726 - val_loss: 0.1597 - val_categorical_accuracy: 0.9524 - 610ms/epoch - 4ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0816 - categorical_accuracy: 0.9719 - val_loss: 0.1729 - val_categorical_accuracy: 0.9492 - 620ms/epoch - 4ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9739 - val_loss: 0.2701 - val_categorical_accuracy: 0.9134 - 610ms/epoch - 4ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.1081 - categorical_accuracy: 0.9655 - val_loss: 0.1763 - val_categorical_accuracy: 0.9458 - 610ms/epoch - 4ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9738 - val_loss: 0.1730 - val_categorical_accuracy: 0.9470 - 620ms/epoch - 4ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0790 - categorical_accuracy: 0.9728 - val_loss: 0.1727 - val_categorical_accuracy: 0.9487 - 610ms/epoch - 4ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9675 - val_loss: 0.1607 - val_categorical_accuracy: 0.9514 - 617ms/epoch - 4ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0760 - categorical_accuracy: 0.9740 - val_loss: 0.1874 - val_categorical_accuracy: 0.9464 - 610ms/epoch - 4ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.1016 - categorical_accuracy: 0.9676 - val_loss: 0.2397 - val_categorical_accuracy: 0.9242 - 610ms/epoch - 4ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0840 - categorical_accuracy: 0.9713 - val_loss: 0.2039 - val_categorical_accuracy: 0.9386 - 620ms/epoch - 4ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9737 - val_loss: 0.1747 - val_categorical_accuracy: 0.9454 - 610ms/epoch - 4ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0897 - categorical_accuracy: 0.9698 - val_loss: 0.1647 - val_categorical_accuracy: 0.9495 - 610ms/epoch - 4ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9745 - val_loss: 0.1793 - val_categorical_accuracy: 0.9447 - 620ms/epoch - 4ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9709 - val_loss: 0.1981 - val_categorical_accuracy: 0.9436 - 610ms/epoch - 4ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.2032 - categorical_accuracy: 0.9485 - val_loss: 0.1823 - val_categorical_accuracy: 0.9416 - 610ms/epoch - 4ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9705 - val_loss: 0.1545 - val_categorical_accuracy: 0.9536 - 610ms/epoch - 4ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0736 - categorical_accuracy: 0.9750 - val_loss: 0.1675 - val_categorical_accuracy: 0.9498 - 610ms/epoch - 4ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9734 - val_loss: 0.1867 - val_categorical_accuracy: 0.9431 - 610ms/epoch - 4ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0852 - categorical_accuracy: 0.9706 - val_loss: 0.1746 - val_categorical_accuracy: 0.9482 - 620ms/epoch - 4ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0755 - categorical_accuracy: 0.9740 - val_loss: 0.1929 - val_categorical_accuracy: 0.9402 - 620ms/epoch - 4ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.1036 - categorical_accuracy: 0.9674 - val_loss: 0.2237 - val_categorical_accuracy: 0.9295 - 610ms/epoch - 4ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0771 - categorical_accuracy: 0.9739 - val_loss: 0.1517 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0732 - categorical_accuracy: 0.9751 - val_loss: 0.1752 - val_categorical_accuracy: 0.9465 - 610ms/epoch - 4ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9735 - val_loss: 0.1615 - val_categorical_accuracy: 0.9529 - 610ms/epoch - 4ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9737 - val_loss: 0.1673 - val_categorical_accuracy: 0.9491 - 610ms/epoch - 4ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.1232 - categorical_accuracy: 0.9624 - val_loss: 0.1622 - val_categorical_accuracy: 0.9495 - 610ms/epoch - 4ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9750 - val_loss: 0.1706 - val_categorical_accuracy: 0.9506 - 610ms/epoch - 4ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0832 - categorical_accuracy: 0.9719 - val_loss: 0.1640 - val_categorical_accuracy: 0.9504 - 610ms/epoch - 4ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9756 - val_loss: 0.1893 - val_categorical_accuracy: 0.9445 - 610ms/epoch - 4ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0846 - categorical_accuracy: 0.9712 - val_loss: 0.1622 - val_categorical_accuracy: 0.9497 - 620ms/epoch - 4ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0722 - categorical_accuracy: 0.9751 - val_loss: 0.2000 - val_categorical_accuracy: 0.9390 - 610ms/epoch - 4ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9759 - val_loss: 0.1623 - val_categorical_accuracy: 0.9511 - 610ms/epoch - 4ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9755 - val_loss: 0.1952 - val_categorical_accuracy: 0.9411 - 610ms/epoch - 4ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.3292 - categorical_accuracy: 0.9133 - val_loss: 0.1946 - val_categorical_accuracy: 0.9321 - 610ms/epoch - 4ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0932 - categorical_accuracy: 0.9681 - val_loss: 0.1525 - val_categorical_accuracy: 0.9525 - 610ms/epoch - 4ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9751 - val_loss: 0.1556 - val_categorical_accuracy: 0.9544 - 610ms/epoch - 4ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0774 - categorical_accuracy: 0.9736 - val_loss: 0.1558 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9762 - val_loss: 0.1699 - val_categorical_accuracy: 0.9477 - 610ms/epoch - 4ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0729 - categorical_accuracy: 0.9752 - val_loss: 0.1569 - val_categorical_accuracy: 0.9525 - 610ms/epoch - 4ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9764 - val_loss: 0.1713 - val_categorical_accuracy: 0.9512 - 610ms/epoch - 4ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9751 - val_loss: 0.1715 - val_categorical_accuracy: 0.9524 - 620ms/epoch - 4ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9747 - val_loss: 0.2005 - val_categorical_accuracy: 0.9427 - 610ms/epoch - 4ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9685 - val_loss: 0.1748 - val_categorical_accuracy: 0.9456 - 610ms/epoch - 4ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0755 - categorical_accuracy: 0.9743 - val_loss: 0.1698 - val_categorical_accuracy: 0.9507 - 610ms/epoch - 4ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0680 - categorical_accuracy: 0.9769 - val_loss: 0.1556 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.1430 - categorical_accuracy: 0.9604 - val_loss: 0.1627 - val_categorical_accuracy: 0.9482 - 620ms/epoch - 4ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0710 - categorical_accuracy: 0.9761 - val_loss: 0.1603 - val_categorical_accuracy: 0.9533 - 620ms/epoch - 4ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0696 - categorical_accuracy: 0.9761 - val_loss: 0.1585 - val_categorical_accuracy: 0.9536 - 610ms/epoch - 4ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0936 - categorical_accuracy: 0.9702 - val_loss: 0.1645 - val_categorical_accuracy: 0.9508 - 620ms/epoch - 4ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9766 - val_loss: 0.1801 - val_categorical_accuracy: 0.9506 - 630ms/epoch - 4ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0678 - categorical_accuracy: 0.9768 - val_loss: 0.2011 - val_categorical_accuracy: 0.9385 - 630ms/epoch - 4ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9760 - val_loss: 0.1679 - val_categorical_accuracy: 0.9536 - 610ms/epoch - 4ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0720 - categorical_accuracy: 0.9750 - val_loss: 0.1533 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0779 - categorical_accuracy: 0.9733 - val_loss: 0.2067 - val_categorical_accuracy: 0.9375 - 610ms/epoch - 4ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0804 - categorical_accuracy: 0.9732 - val_loss: 0.1548 - val_categorical_accuracy: 0.9554 - 610ms/epoch - 4ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9761 - val_loss: 0.1756 - val_categorical_accuracy: 0.9504 - 620ms/epoch - 4ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.1206 - categorical_accuracy: 0.9643 - val_loss: 0.1615 - val_categorical_accuracy: 0.9505 - 610ms/epoch - 4ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9771 - val_loss: 0.1956 - val_categorical_accuracy: 0.9439 - 610ms/epoch - 4ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0679 - categorical_accuracy: 0.9769 - val_loss: 0.1666 - val_categorical_accuracy: 0.9506 - 610ms/epoch - 4ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9759 - val_loss: 0.1606 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9769 - val_loss: 0.1656 - val_categorical_accuracy: 0.9504 - 620ms/epoch - 4ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0928 - categorical_accuracy: 0.9701 - val_loss: 0.1722 - val_categorical_accuracy: 0.9481 - 610ms/epoch - 4ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9769 - val_loss: 0.1623 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.1544 - categorical_accuracy: 0.9574 - val_loss: 0.1915 - val_categorical_accuracy: 0.9379 - 610ms/epoch - 4ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9752 - val_loss: 0.1738 - val_categorical_accuracy: 0.9472 - 610ms/epoch - 4ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9773 - val_loss: 0.1711 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9766 - val_loss: 0.1584 - val_categorical_accuracy: 0.9529 - 610ms/epoch - 4ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0651 - categorical_accuracy: 0.9777 - val_loss: 0.1760 - val_categorical_accuracy: 0.9525 - 610ms/epoch - 4ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9779 - val_loss: 0.1673 - val_categorical_accuracy: 0.9529 - 610ms/epoch - 4ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0668 - categorical_accuracy: 0.9770 - val_loss: 0.2964 - val_categorical_accuracy: 0.9190 - 610ms/epoch - 4ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.1247 - categorical_accuracy: 0.9638 - val_loss: 0.1486 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0706 - categorical_accuracy: 0.9758 - val_loss: 0.1649 - val_categorical_accuracy: 0.9511 - 610ms/epoch - 4ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9777 - val_loss: 0.1591 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9780 - val_loss: 0.1628 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9775 - val_loss: 0.1650 - val_categorical_accuracy: 0.9519 - 610ms/epoch - 4ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9778 - val_loss: 0.1679 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9766 - val_loss: 0.1909 - val_categorical_accuracy: 0.9468 - 610ms/epoch - 4ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9770 - val_loss: 0.1826 - val_categorical_accuracy: 0.9468 - 620ms/epoch - 4ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9771 - val_loss: 0.1686 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9771 - val_loss: 0.1661 - val_categorical_accuracy: 0.9535 - 610ms/epoch - 4ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0944 - categorical_accuracy: 0.9692 - val_loss: 0.1761 - val_categorical_accuracy: 0.9497 - 610ms/epoch - 4ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9781 - val_loss: 0.1766 - val_categorical_accuracy: 0.9502 - 610ms/epoch - 4ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9782 - val_loss: 0.1695 - val_categorical_accuracy: 0.9534 - 610ms/epoch - 4ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9775 - val_loss: 0.1578 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9771 - val_loss: 0.1719 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.1345 - categorical_accuracy: 0.9614 - val_loss: 0.1846 - val_categorical_accuracy: 0.9432 - 610ms/epoch - 4ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0666 - categorical_accuracy: 0.9774 - val_loss: 0.1810 - val_categorical_accuracy: 0.9493 - 620ms/epoch - 4ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9781 - val_loss: 0.1537 - val_categorical_accuracy: 0.9569 - 610ms/epoch - 4ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0625 - categorical_accuracy: 0.9785 - val_loss: 0.1548 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9788 - val_loss: 0.2140 - val_categorical_accuracy: 0.9436 - 610ms/epoch - 4ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0683 - categorical_accuracy: 0.9764 - val_loss: 0.1635 - val_categorical_accuracy: 0.9514 - 610ms/epoch - 4ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9782 - val_loss: 0.1983 - val_categorical_accuracy: 0.9425 - 620ms/epoch - 4ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.1749 - categorical_accuracy: 0.9526 - val_loss: 0.1574 - val_categorical_accuracy: 0.9532 - 620ms/epoch - 4ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9785 - val_loss: 0.1613 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9785 - val_loss: 0.1601 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9778 - val_loss: 0.1588 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0887 - categorical_accuracy: 0.9717 - val_loss: 0.1721 - val_categorical_accuracy: 0.9519 - 620ms/epoch - 4ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9790 - val_loss: 0.1604 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9787 - val_loss: 0.1633 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9784 - val_loss: 0.1645 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0676 - categorical_accuracy: 0.9766 - val_loss: 0.1928 - val_categorical_accuracy: 0.9430 - 620ms/epoch - 4ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9776 - val_loss: 0.1631 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9790 - val_loss: 0.1990 - val_categorical_accuracy: 0.9412 - 610ms/epoch - 4ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9779 - val_loss: 0.1737 - val_categorical_accuracy: 0.9508 - 610ms/epoch - 4ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9777 - val_loss: 0.1701 - val_categorical_accuracy: 0.9524 - 614ms/epoch - 4ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9785 - val_loss: 0.2052 - val_categorical_accuracy: 0.9398 - 610ms/epoch - 4ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.1124 - categorical_accuracy: 0.9672 - val_loss: 0.1617 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9789 - val_loss: 0.1832 - val_categorical_accuracy: 0.9436 - 610ms/epoch - 4ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9787 - val_loss: 0.1722 - val_categorical_accuracy: 0.9512 - 610ms/epoch - 4ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.4916 - categorical_accuracy: 0.8669 - val_loss: 0.3068 - val_categorical_accuracy: 0.8921 - 610ms/epoch - 4ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.1562 - categorical_accuracy: 0.9459 - val_loss: 0.1727 - val_categorical_accuracy: 0.9446 - 610ms/epoch - 4ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0910 - categorical_accuracy: 0.9685 - val_loss: 0.1742 - val_categorical_accuracy: 0.9479 - 620ms/epoch - 4ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9737 - val_loss: 0.1704 - val_categorical_accuracy: 0.9501 - 610ms/epoch - 4ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0706 - categorical_accuracy: 0.9757 - val_loss: 0.1733 - val_categorical_accuracy: 0.9508 - 610ms/epoch - 4ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9762 - val_loss: 0.1720 - val_categorical_accuracy: 0.9536 - 610ms/epoch - 4ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0669 - categorical_accuracy: 0.9768 - val_loss: 0.1860 - val_categorical_accuracy: 0.9474 - 610ms/epoch - 4ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9764 - val_loss: 0.1740 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9760 - val_loss: 0.1928 - val_categorical_accuracy: 0.9450 - 610ms/epoch - 4ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9777 - val_loss: 0.1653 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0611 - categorical_accuracy: 0.9790 - val_loss: 0.1711 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9780 - val_loss: 0.1801 - val_categorical_accuracy: 0.9495 - 620ms/epoch - 4ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0644 - categorical_accuracy: 0.9778 - val_loss: 0.1595 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9746 - val_loss: 0.1654 - val_categorical_accuracy: 0.9525 - 610ms/epoch - 4ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9791 - val_loss: 0.1569 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0853 - categorical_accuracy: 0.9728 - val_loss: 0.2016 - val_categorical_accuracy: 0.9446 - 620ms/epoch - 4ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9796 - val_loss: 0.1766 - val_categorical_accuracy: 0.9519 - 610ms/epoch - 4ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0625 - categorical_accuracy: 0.9786 - val_loss: 0.1607 - val_categorical_accuracy: 0.9557 - 610ms/epoch - 4ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9788 - val_loss: 0.1594 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9786 - val_loss: 0.1666 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9794 - val_loss: 0.1948 - val_categorical_accuracy: 0.9461 - 610ms/epoch - 4ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9791 - val_loss: 0.1635 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9793 - val_loss: 0.2023 - val_categorical_accuracy: 0.9452 - 610ms/epoch - 4ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.1419 - categorical_accuracy: 0.9606 - val_loss: 0.1583 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9797 - val_loss: 0.1691 - val_categorical_accuracy: 0.9515 - 610ms/epoch - 4ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9800 - val_loss: 0.1648 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9795 - val_loss: 0.1712 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9792 - val_loss: 0.1677 - val_categorical_accuracy: 0.9535 - 610ms/epoch - 4ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9792 - val_loss: 0.1588 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9780 - val_loss: 0.1794 - val_categorical_accuracy: 0.9495 - 610ms/epoch - 4ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9767 - val_loss: 2.8295 - val_categorical_accuracy: 0.6872 - 610ms/epoch - 4ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.1287 - categorical_accuracy: 0.9636 - val_loss: 0.1547 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9804 - val_loss: 0.1842 - val_categorical_accuracy: 0.9492 - 620ms/epoch - 4ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9803 - val_loss: 0.1694 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9791 - val_loss: 0.1724 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9792 - val_loss: 0.1652 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9797 - val_loss: 0.1675 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9797 - val_loss: 0.1855 - val_categorical_accuracy: 0.9478 - 630ms/epoch - 4ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9665 - val_loss: 0.1621 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9802 - val_loss: 0.1790 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9796 - val_loss: 0.1645 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9802 - val_loss: 0.2165 - val_categorical_accuracy: 0.9451 - 610ms/epoch - 4ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.1046 - categorical_accuracy: 0.9694 - val_loss: 0.1563 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9810 - val_loss: 0.1493 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0558 - categorical_accuracy: 0.9809 - val_loss: 0.1683 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9808 - val_loss: 0.1714 - val_categorical_accuracy: 0.9537 - 610ms/epoch - 4ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9805 - val_loss: 0.1698 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.4942 - categorical_accuracy: 0.8613 - val_loss: 0.1948 - val_categorical_accuracy: 0.9390 - 610ms/epoch - 4ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0888 - categorical_accuracy: 0.9692 - val_loss: 0.1615 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0679 - categorical_accuracy: 0.9766 - val_loss: 0.1811 - val_categorical_accuracy: 0.9490 - 610ms/epoch - 4ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9787 - val_loss: 0.1813 - val_categorical_accuracy: 0.9475 - 610ms/epoch - 4ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0599 - categorical_accuracy: 0.9795 - val_loss: 0.1572 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9804 - val_loss: 0.1600 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9793 - val_loss: 0.1767 - val_categorical_accuracy: 0.9535 - 620ms/epoch - 4ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9803 - val_loss: 0.1677 - val_categorical_accuracy: 0.9540 - 610ms/epoch - 4ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9792 - val_loss: 0.1665 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9798 - val_loss: 0.1716 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9809 - val_loss: 0.1670 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9797 - val_loss: 0.1640 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9801 - val_loss: 0.1619 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9807 - val_loss: 0.1715 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9795 - val_loss: 0.1582 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9739 - val_loss: 0.7860 - val_categorical_accuracy: 0.8050 - 620ms/epoch - 4ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0816 - categorical_accuracy: 0.9726 - val_loss: 0.1619 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9812 - val_loss: 0.1602 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9812 - val_loss: 0.1555 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9810 - val_loss: 0.1701 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9812 - val_loss: 0.1621 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9803 - val_loss: 0.1610 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9806 - val_loss: 0.1807 - val_categorical_accuracy: 0.9504 - 610ms/epoch - 4ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9806 - val_loss: 0.1611 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9810 - val_loss: 0.1688 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9799 - val_loss: 0.1783 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9804 - val_loss: 0.1686 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9806 - val_loss: 0.2119 - val_categorical_accuracy: 0.9442 - 620ms/epoch - 4ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9801 - val_loss: 0.1754 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9804 - val_loss: 0.1704 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.1812 - categorical_accuracy: 0.9514 - val_loss: 0.1789 - val_categorical_accuracy: 0.9471 - 610ms/epoch - 4ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9784 - val_loss: 0.1657 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9810 - val_loss: 0.1585 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9813 - val_loss: 0.1584 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9812 - val_loss: 0.1773 - val_categorical_accuracy: 0.9509 - 610ms/epoch - 4ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0729 - categorical_accuracy: 0.9763 - val_loss: 0.1719 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9814 - val_loss: 0.1698 - val_categorical_accuracy: 0.9569 - 610ms/epoch - 4ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9809 - val_loss: 0.1694 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9812 - val_loss: 0.1602 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0838 - categorical_accuracy: 0.9731 - val_loss: 0.1586 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9813 - val_loss: 0.1633 - val_categorical_accuracy: 0.9562 - 610ms/epoch - 4ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9816 - val_loss: 0.1729 - val_categorical_accuracy: 0.9539 - 610ms/epoch - 4ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9805 - val_loss: 0.1901 - val_categorical_accuracy: 0.9512 - 620ms/epoch - 4ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9772 - val_loss: 0.1857 - val_categorical_accuracy: 0.9523 - 610ms/epoch - 4ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9817 - val_loss: 0.1725 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0868 - categorical_accuracy: 0.9723 - val_loss: 0.1555 - val_categorical_accuracy: 0.9565 - 610ms/epoch - 4ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9813 - val_loss: 0.1655 - val_categorical_accuracy: 0.9577 - 611ms/epoch - 4ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9815 - val_loss: 0.1946 - val_categorical_accuracy: 0.9507 - 620ms/epoch - 4ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9812 - val_loss: 0.1725 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9815 - val_loss: 0.2004 - val_categorical_accuracy: 0.9490 - 610ms/epoch - 4ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9816 - val_loss: 0.1646 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9671 - val_loss: 0.2230 - val_categorical_accuracy: 0.9305 - 610ms/epoch - 4ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9775 - val_loss: 0.1715 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9816 - val_loss: 0.1554 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9824 - val_loss: 0.1781 - val_categorical_accuracy: 0.9530 - 610ms/epoch - 4ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9821 - val_loss: 0.1755 - val_categorical_accuracy: 0.9546 - 610ms/epoch - 4ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9814 - val_loss: 0.2054 - val_categorical_accuracy: 0.9494 - 610ms/epoch - 4ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9806 - val_loss: 0.1726 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.1026 - categorical_accuracy: 0.9715 - val_loss: 0.1704 - val_categorical_accuracy: 0.9498 - 610ms/epoch - 4ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9804 - val_loss: 0.1675 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9820 - val_loss: 0.1502 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0574 - categorical_accuracy: 0.9802 - val_loss: 0.1678 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9814 - val_loss: 0.1703 - val_categorical_accuracy: 0.9551 - 610ms/epoch - 4ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9823 - val_loss: 0.1646 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9819 - val_loss: 0.1721 - val_categorical_accuracy: 0.9569 - 610ms/epoch - 4ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9816 - val_loss: 0.1789 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9820 - val_loss: 0.1758 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9825 - val_loss: 0.1760 - val_categorical_accuracy: 0.9554 - 610ms/epoch - 4ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9758 - val_loss: 0.1800 - val_categorical_accuracy: 0.9535 - 620ms/epoch - 4ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9822 - val_loss: 0.1759 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9816 - val_loss: 0.1694 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9732 - val_loss: 0.1716 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9812 - val_loss: 0.1598 - val_categorical_accuracy: 0.9567 - 610ms/epoch - 4ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9821 - val_loss: 0.1693 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9826 - val_loss: 0.1687 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9823 - val_loss: 0.1698 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9822 - val_loss: 0.1735 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9814 - val_loss: 0.1636 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9802 - val_loss: 0.1913 - val_categorical_accuracy: 0.9533 - 620ms/epoch - 4ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9820 - val_loss: 0.2071 - val_categorical_accuracy: 0.9471 - 620ms/epoch - 4ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9819 - val_loss: 0.1849 - val_categorical_accuracy: 0.9526 - 610ms/epoch - 4ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9813 - val_loss: 0.1693 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9824 - val_loss: 0.1647 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9796 - val_loss: 0.1897 - val_categorical_accuracy: 0.9500 - 620ms/epoch - 4ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9811 - val_loss: 0.1628 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9817 - val_loss: 0.1735 - val_categorical_accuracy: 0.9575 - 618ms/epoch - 4ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9813 - val_loss: 0.1854 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9821 - val_loss: 0.2111 - val_categorical_accuracy: 0.9454 - 620ms/epoch - 4ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.1015 - categorical_accuracy: 0.9704 - val_loss: 0.1646 - val_categorical_accuracy: 0.9556 - 640ms/epoch - 5ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9819 - val_loss: 0.1793 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9823 - val_loss: 0.1724 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9822 - val_loss: 0.1761 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9824 - val_loss: 0.1739 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9816 - val_loss: 0.1721 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9676 - val_loss: 0.1622 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9817 - val_loss: 0.1803 - val_categorical_accuracy: 0.9531 - 610ms/epoch - 4ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9823 - val_loss: 0.1679 - val_categorical_accuracy: 0.9560 - 610ms/epoch - 4ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9823 - val_loss: 0.1654 - val_categorical_accuracy: 0.9587 - 610ms/epoch - 4ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9826 - val_loss: 0.1735 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9822 - val_loss: 0.1877 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9816 - val_loss: 0.1677 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9829 - val_loss: 0.1654 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.1204 - categorical_accuracy: 0.9670 - val_loss: 0.1568 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9813 - val_loss: 0.1758 - val_categorical_accuracy: 0.9515 - 620ms/epoch - 4ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9829 - val_loss: 0.1624 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9824 - val_loss: 0.1912 - val_categorical_accuracy: 0.9516 - 610ms/epoch - 4ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9822 - val_loss: 0.1757 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9833 - val_loss: 0.1738 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9762 - val_loss: 0.1864 - val_categorical_accuracy: 0.9502 - 620ms/epoch - 4ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9814 - val_loss: 0.1803 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9824 - val_loss: 0.1747 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9831 - val_loss: 0.1816 - val_categorical_accuracy: 0.9547 - 610ms/epoch - 4ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.1200 - categorical_accuracy: 0.9670 - val_loss: 0.1568 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9830 - val_loss: 0.1623 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9831 - val_loss: 0.1801 - val_categorical_accuracy: 0.9544 - 610ms/epoch - 4ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9829 - val_loss: 0.1683 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.1671 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9826 - val_loss: 0.1679 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9824 - val_loss: 0.1929 - val_categorical_accuracy: 0.9530 - 610ms/epoch - 4ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1701 - val_categorical_accuracy: 0.9573 - 610ms/epoch - 4ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.1716 - val_categorical_accuracy: 0.9565 - 610ms/epoch - 4ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9831 - val_loss: 0.1681 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9834 - val_loss: 0.1626 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9824 - val_loss: 0.1801 - val_categorical_accuracy: 0.9545 - 620ms/epoch - 4ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0966 - categorical_accuracy: 0.9720 - val_loss: 0.1695 - val_categorical_accuracy: 0.9550 - 640ms/epoch - 5ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9824 - val_loss: 0.1668 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9831 - val_loss: 0.1676 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9834 - val_loss: 0.1729 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9820 - val_loss: 0.1705 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.1031 - categorical_accuracy: 0.9717 - val_loss: 0.2143 - val_categorical_accuracy: 0.9369 - 620ms/epoch - 4ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9800 - val_loss: 0.1602 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9829 - val_loss: 0.1750 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9836 - val_loss: 0.1631 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9824 - val_loss: 0.1788 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.1286 - categorical_accuracy: 0.9652 - val_loss: 0.1595 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9836 - val_loss: 0.1621 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9834 - val_loss: 0.1818 - val_categorical_accuracy: 0.9531 - 610ms/epoch - 4ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1618 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9833 - val_loss: 0.1641 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9821 - val_loss: 0.1648 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1633 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1907 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9823 - val_loss: 0.1708 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9835 - val_loss: 0.1676 - val_categorical_accuracy: 0.9581 - 617ms/epoch - 4ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0804 - categorical_accuracy: 0.9756 - val_loss: 0.1671 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9839 - val_loss: 0.1689 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9838 - val_loss: 0.1860 - val_categorical_accuracy: 0.9514 - 790ms/epoch - 6ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.1156 - categorical_accuracy: 0.9678 - val_loss: 0.1612 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9833 - val_loss: 0.1746 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9836 - val_loss: 0.1664 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9834 - val_loss: 0.1685 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9836 - val_loss: 0.1719 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9836 - val_loss: 0.1673 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.1789 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9831 - val_loss: 0.1697 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9837 - val_loss: 0.1859 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9829 - val_loss: 0.1781 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.1723 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9836 - val_loss: 0.1843 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9769 - val_loss: 0.2403 - val_categorical_accuracy: 0.9319 - 620ms/epoch - 4ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9810 - val_loss: 0.1704 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9830 - val_loss: 0.1700 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9835 - val_loss: 0.1768 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9837 - val_loss: 0.1731 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9827 - val_loss: 0.1703 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.2072 - val_categorical_accuracy: 0.9531 - 620ms/epoch - 4ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.1591 - categorical_accuracy: 0.9595 - val_loss: 0.1676 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9829 - val_loss: 0.1734 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9840 - val_loss: 0.1643 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9835 - val_loss: 0.1787 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.1827 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9840 - val_loss: 0.1773 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9838 - val_loss: 0.1917 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9833 - val_loss: 0.1808 - val_categorical_accuracy: 0.9550 - 610ms/epoch - 4ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.1788 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9836 - val_loss: 0.1888 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9746 - val_loss: 0.1723 - val_categorical_accuracy: 0.9548 - 610ms/epoch - 4ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9835 - val_loss: 0.1661 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9843 - val_loss: 0.2056 - val_categorical_accuracy: 0.9466 - 610ms/epoch - 4ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.1141 - categorical_accuracy: 0.9685 - val_loss: 0.1637 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9839 - val_loss: 0.1753 - val_categorical_accuracy: 0.9536 - 620ms/epoch - 4ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.1664 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9840 - val_loss: 0.1762 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.1628 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9838 - val_loss: 0.1751 - val_categorical_accuracy: 0.9567 - 650ms/epoch - 5ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9839 - val_loss: 0.1781 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9837 - val_loss: 0.1867 - val_categorical_accuracy: 0.9513 - 630ms/epoch - 4ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9829 - val_loss: 0.1832 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9832 - val_loss: 0.1745 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9840 - val_loss: 0.1660 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9835 - val_loss: 0.1745 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.1757 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.1690 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9830 - val_loss: 0.1747 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.2164 - val_categorical_accuracy: 0.9502 - 620ms/epoch - 4ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.1564 - categorical_accuracy: 0.9593 - val_loss: 0.1623 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9836 - val_loss: 0.1704 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9844 - val_loss: 0.1772 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9840 - val_loss: 0.1666 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9837 - val_loss: 0.1650 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9844 - val_loss: 0.1934 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.1749 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1708 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.1723 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.1768 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9836 - val_loss: 0.1831 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9837 - val_loss: 0.1706 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9834 - val_loss: 0.1880 - val_categorical_accuracy: 0.9539 - 610ms/epoch - 4ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.1416 - categorical_accuracy: 0.9624 - val_loss: 0.1782 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9831 - val_loss: 0.1739 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9833 - val_loss: 0.1739 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9847 - val_loss: 0.1664 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9828 - val_loss: 0.1720 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9844 - val_loss: 0.1717 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0841 - categorical_accuracy: 0.9752 - val_loss: 0.1870 - val_categorical_accuracy: 0.9487 - 620ms/epoch - 4ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9825 - val_loss: 0.1711 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9846 - val_loss: 0.1618 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9850 - val_loss: 0.1663 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.1866 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9841 - val_loss: 0.1652 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.1799 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.1123 - categorical_accuracy: 0.9696 - val_loss: 0.1742 - val_categorical_accuracy: 0.9504 - 620ms/epoch - 4ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.1763 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9846 - val_loss: 0.1747 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9843 - val_loss: 0.1917 - val_categorical_accuracy: 0.9538 - 620ms/epoch - 4ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9844 - val_loss: 0.1855 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9825 - val_loss: 0.4676 - val_categorical_accuracy: 0.8924 - 610ms/epoch - 4ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9762 - val_loss: 0.2302 - val_categorical_accuracy: 0.9441 - 610ms/epoch - 4ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9839 - val_loss: 0.1620 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9846 - val_loss: 0.1767 - val_categorical_accuracy: 0.9545 - 630ms/epoch - 4ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.1874 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9844 - val_loss: 0.1670 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9844 - val_loss: 0.1664 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1761 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9815 - val_loss: 0.1744 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9843 - val_loss: 0.1812 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9844 - val_loss: 0.1713 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9842 - val_loss: 0.2022 - val_categorical_accuracy: 0.9525 - 620ms/epoch - 4ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.1814 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9840 - val_loss: 0.1911 - val_categorical_accuracy: 0.9542 - 610ms/epoch - 4ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9835 - val_loss: 0.1715 - val_categorical_accuracy: 0.9610 - 624ms/epoch - 4ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9761 - val_loss: 0.1704 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9847 - val_loss: 0.1686 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9847 - val_loss: 0.1788 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9848 - val_loss: 0.1889 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1830 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9838 - val_loss: 0.1776 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.2140 - val_categorical_accuracy: 0.9474 - 610ms/epoch - 4ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0859 - categorical_accuracy: 0.9749 - val_loss: 0.1712 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9844 - val_loss: 0.1791 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0835 - categorical_accuracy: 0.9756 - val_loss: 0.1672 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1740 - val_categorical_accuracy: 0.9567 - 610ms/epoch - 4ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9849 - val_loss: 0.1812 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1744 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9834 - val_loss: 0.1822 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1968 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1749 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9850 - val_loss: 0.2053 - val_categorical_accuracy: 0.9524 - 610ms/epoch - 4ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9843 - val_loss: 0.1748 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1751 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1839 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.2160 - val_categorical_accuracy: 0.9482 - 620ms/epoch - 4ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.1472 - categorical_accuracy: 0.9625 - val_loss: 0.1749 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.1914 - val_categorical_accuracy: 0.9532 - 610ms/epoch - 4ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9845 - val_loss: 0.1850 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9848 - val_loss: 0.1705 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1799 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.2043 - val_categorical_accuracy: 0.9497 - 610ms/epoch - 4ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1801 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.1840 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.1953 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9837 - val_loss: 0.1802 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9843 - val_loss: 0.1953 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.2118 - val_categorical_accuracy: 0.9475 - 620ms/epoch - 4ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9845 - val_loss: 0.2005 - val_categorical_accuracy: 0.9525 - 610ms/epoch - 4ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1857 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9838 - val_loss: 0.1955 - val_categorical_accuracy: 0.9533 - 610ms/epoch - 4ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9847 - val_loss: 0.1847 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.1805 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9848 - val_loss: 0.1892 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.2078 - val_categorical_accuracy: 0.9531 - 620ms/epoch - 4ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.1916 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9848 - val_loss: 0.2878 - val_categorical_accuracy: 0.9288 - 630ms/epoch - 4ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.5062 - categorical_accuracy: 0.8583 - val_loss: 0.1956 - val_categorical_accuracy: 0.9410 - 630ms/epoch - 4ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0856 - categorical_accuracy: 0.9698 - val_loss: 0.1743 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9802 - val_loss: 0.1745 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9830 - val_loss: 0.1680 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.2004 - val_categorical_accuracy: 0.9511 - 610ms/epoch - 4ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9834 - val_loss: 0.1735 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9841 - val_loss: 0.1738 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9831 - val_loss: 0.1803 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9844 - val_loss: 0.1775 - val_categorical_accuracy: 0.9563 - 610ms/epoch - 4ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9844 - val_loss: 0.1780 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.2020 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1843 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9844 - val_loss: 0.2047 - val_categorical_accuracy: 0.9493 - 610ms/epoch - 4ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1753 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9841 - val_loss: 0.1786 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9844 - val_loss: 0.1841 - val_categorical_accuracy: 0.9546 - 610ms/epoch - 4ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9843 - val_loss: 0.1804 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9847 - val_loss: 0.2187 - val_categorical_accuracy: 0.9455 - 620ms/epoch - 4ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1886 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9842 - val_loss: 0.2060 - val_categorical_accuracy: 0.9539 - 610ms/epoch - 4ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9842 - val_loss: 0.1759 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9846 - val_loss: 0.1850 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9752 - val_loss: 0.3063 - val_categorical_accuracy: 0.9063 - 610ms/epoch - 4ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0579 - categorical_accuracy: 0.9796 - val_loss: 0.1671 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1828 - val_categorical_accuracy: 0.9567 - 610ms/epoch - 4ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1804 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9852 - val_loss: 0.1779 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1805 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9851 - val_loss: 0.1740 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.2878 - val_categorical_accuracy: 0.9330 - 610ms/epoch - 4ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.1050 - categorical_accuracy: 0.9715 - val_loss: 0.1913 - val_categorical_accuracy: 0.9500 - 620ms/epoch - 4ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.1668 - val_categorical_accuracy: 0.9626 - 610ms/epoch - 4ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9852 - val_loss: 0.1712 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.1823 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.1830 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1864 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1805 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.1807 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9846 - val_loss: 0.1869 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9849 - val_loss: 0.1770 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9850 - val_loss: 0.1834 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.1825 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.2170 - val_categorical_accuracy: 0.9472 - 610ms/epoch - 4ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.1092 - categorical_accuracy: 0.9710 - val_loss: 0.1876 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.1729 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.1852 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.2069 - val_categorical_accuracy: 0.9518 - 620ms/epoch - 4ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9838 - val_loss: 0.1831 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.1742 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1798 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9854 - val_loss: 0.1879 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.1948 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.1791 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1888 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1899 - val_categorical_accuracy: 0.9568 - 622ms/epoch - 4ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9843 - val_loss: 0.1850 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.1126 - categorical_accuracy: 0.9706 - val_loss: 0.1995 - val_categorical_accuracy: 0.9446 - 610ms/epoch - 4ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9824 - val_loss: 0.1735 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9853 - val_loss: 0.1729 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9853 - val_loss: 0.1807 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.1885 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.1957 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9846 - val_loss: 0.1915 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9846 - val_loss: 0.1896 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1862 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1916 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1892 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9854 - val_loss: 0.2081 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9851 - val_loss: 0.1838 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1794 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1828 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1926 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9854 - val_loss: 0.1931 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9844 - val_loss: 0.3416 - val_categorical_accuracy: 0.9334 - 610ms/epoch - 4ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9823 - val_loss: 0.1869 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1870 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9854 - val_loss: 0.1845 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1792 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.1769 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.2138 - val_categorical_accuracy: 0.9538 - 610ms/epoch - 4ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.2129 - val_categorical_accuracy: 0.9500 - 620ms/epoch - 4ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1994 - val_categorical_accuracy: 0.9514 - 620ms/epoch - 4ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0963 - categorical_accuracy: 0.9729 - val_loss: 0.1700 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.1912 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1874 - val_categorical_accuracy: 0.9583 - 610ms/epoch - 4ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.1884 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9851 - val_loss: 0.1807 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1824 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9838 - val_loss: 0.1743 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.1909 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1912 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.1989 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.1916 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.1807 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1965 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.1321 - categorical_accuracy: 0.9668 - val_loss: 0.2040 - val_categorical_accuracy: 0.9410 - 620ms/epoch - 4ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9806 - val_loss: 0.1735 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9857 - val_loss: 0.1734 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9857 - val_loss: 0.1793 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.1836 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.1791 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9852 - val_loss: 0.1915 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.1953 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.2089 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.2113 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2024 - val_categorical_accuracy: 0.9535 - 620ms/epoch - 4ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.2095 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.1911 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.2322 - val_categorical_accuracy: 0.9501 - 620ms/epoch - 4ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.1900 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.1791 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1798 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9855 - val_loss: 0.1833 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.1882 - categorical_accuracy: 0.9538 - val_loss: 0.2041 - val_categorical_accuracy: 0.9433 - 620ms/epoch - 4ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9808 - val_loss: 0.1692 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9853 - val_loss: 0.1929 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9857 - val_loss: 0.1858 - val_categorical_accuracy: 0.9568 - 610ms/epoch - 4ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.1788 - val_categorical_accuracy: 0.9610 - 610ms/epoch - 4ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9858 - val_loss: 0.1851 - val_categorical_accuracy: 0.9571 - 610ms/epoch - 4ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.1931 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.1850 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.1812 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.1957 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.1990 - val_categorical_accuracy: 0.9545 - 610ms/epoch - 4ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1878 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.1917 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1900 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.3020 - val_categorical_accuracy: 0.9301 - 620ms/epoch - 4ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9738 - val_loss: 0.1671 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9856 - val_loss: 0.1710 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.1820 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9856 - val_loss: 0.1808 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0774 - categorical_accuracy: 0.9770 - val_loss: 0.1713 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.1857 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1814 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1778 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1876 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.1872 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9860 - val_loss: 0.2082 - val_categorical_accuracy: 0.9540 - 610ms/epoch - 4ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.1787 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1835 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9858 - val_loss: 0.1968 - val_categorical_accuracy: 0.9590 - 610ms/epoch - 4ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9860 - val_loss: 0.1792 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1832 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1973 - val_categorical_accuracy: 0.9562 - 610ms/epoch - 4ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.1069 - categorical_accuracy: 0.9714 - val_loss: 0.1727 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1859 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1750 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9863 - val_loss: 0.1888 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.1829 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1767 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.1886 - val_categorical_accuracy: 0.9595 - 614ms/epoch - 4ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1842 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1947 - val_categorical_accuracy: 0.9567 - 610ms/epoch - 4ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.1971 - val_categorical_accuracy: 0.9575 - 610ms/epoch - 4ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1959 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1931 - val_categorical_accuracy: 0.9572 - 610ms/epoch - 4ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9848 - val_loss: 0.1870 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1798 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.1887 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9859 - val_loss: 0.1941 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.1904 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1976 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9862 - val_loss: 0.1921 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1914 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1957 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.2025 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9852 - val_loss: 0.1934 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.2033 - val_categorical_accuracy: 0.9556 - 610ms/epoch - 4ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.1839 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1979 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.3010 - categorical_accuracy: 0.9239 - val_loss: 0.2130 - val_categorical_accuracy: 0.9359 - 610ms/epoch - 4ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0633 - categorical_accuracy: 0.9777 - val_loss: 0.1727 - val_categorical_accuracy: 0.9570 - 610ms/epoch - 4ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9845 - val_loss: 0.1767 - val_categorical_accuracy: 0.9556 - 610ms/epoch - 4ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9855 - val_loss: 0.1787 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9860 - val_loss: 0.1698 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1760 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.1849 - val_categorical_accuracy: 0.9552 - 610ms/epoch - 4ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1841 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.1862 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9863 - val_loss: 0.1851 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1819 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1809 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2053 - val_categorical_accuracy: 0.9528 - 610ms/epoch - 4ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1828 - val_categorical_accuracy: 0.9603 - 610ms/epoch - 4ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.1829 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.1890 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2080 - val_categorical_accuracy: 0.9559 - 610ms/epoch - 4ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9854 - val_loss: 0.2160 - val_categorical_accuracy: 0.9535 - 620ms/epoch - 4ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9853 - val_loss: 0.1829 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2140 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9852 - val_loss: 0.2003 - val_categorical_accuracy: 0.9582 - 650ms/epoch - 5ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.1906 - val_categorical_accuracy: 0.9566 - 610ms/epoch - 4ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.1943 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9860 - val_loss: 0.1931 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.1871 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1935 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.1915 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9821 - val_loss: 0.6933 - val_categorical_accuracy: 0.8685 - 620ms/epoch - 4ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9811 - val_loss: 0.1910 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1819 - val_categorical_accuracy: 0.9628 - 620ms/epoch - 4ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1987 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.1914 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1973 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.2017 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1922 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.2007 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.1975 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.1855 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.1910 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2318 - val_categorical_accuracy: 0.9515 - 620ms/epoch - 4ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.2088 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1917 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2008 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2004 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2000 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9861 - val_loss: 0.1924 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.3040 - categorical_accuracy: 0.9190 - val_loss: 0.1918 - val_categorical_accuracy: 0.9437 - 610ms/epoch - 4ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9788 - val_loss: 0.1839 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9851 - val_loss: 0.1838 - val_categorical_accuracy: 0.9538 - 620ms/epoch - 4ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9861 - val_loss: 0.1704 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9865 - val_loss: 0.1798 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.1910 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.1854 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.1872 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1962 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9865 - val_loss: 0.1810 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.1826 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.1921 - val_categorical_accuracy: 0.9578 - 610ms/epoch - 4ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.1361 - categorical_accuracy: 0.9692 - val_loss: 0.4159 - val_categorical_accuracy: 0.8640 - 620ms/epoch - 4ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0865 - categorical_accuracy: 0.9699 - val_loss: 0.1645 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9855 - val_loss: 0.1829 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9863 - val_loss: 0.1784 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9865 - val_loss: 0.1834 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.2130 - val_categorical_accuracy: 0.9526 - 620ms/epoch - 4ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.1835 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9864 - val_loss: 0.1842 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.1813 - val_categorical_accuracy: 0.9624 - 620ms/epoch - 4ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.2062 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0837 - categorical_accuracy: 0.9754 - val_loss: 0.1832 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.1844 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.1879 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9864 - val_loss: 0.1847 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.1780 - val_categorical_accuracy: 0.9622 - 620ms/epoch - 4ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.1971 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.1894 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9870 - val_loss: 0.2048 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9864 - val_loss: 0.2074 - val_categorical_accuracy: 0.9541 - 620ms/epoch - 4ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.1917 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.1844 - val_categorical_accuracy: 0.9611 - 612ms/epoch - 4ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9869 - val_loss: 0.1956 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.2230 - val_categorical_accuracy: 0.9519 - 620ms/epoch - 4ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1881 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.1914 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9813 - val_loss: 0.4655 - val_categorical_accuracy: 0.9028 - 620ms/epoch - 4ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9824 - val_loss: 0.2095 - val_categorical_accuracy: 0.9541 - 610ms/epoch - 4ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9863 - val_loss: 0.1971 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9867 - val_loss: 0.1879 - val_categorical_accuracy: 0.9600 - 610ms/epoch - 4ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.1929 - val_categorical_accuracy: 0.9594 - 610ms/epoch - 4ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9862 - val_loss: 0.1930 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2258 - val_categorical_accuracy: 0.9565 - 610ms/epoch - 4ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.1963 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.1957 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2098 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9866 - val_loss: 0.2014 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.2119 - val_categorical_accuracy: 0.9546 - 610ms/epoch - 4ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2009 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2007 - val_categorical_accuracy: 0.9561 - 610ms/epoch - 4ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.1954 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2282 - val_categorical_accuracy: 0.9522 - 610ms/epoch - 4ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9854 - val_loss: 0.1972 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.2050 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9859 - val_loss: 0.1962 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1957 - val_categorical_accuracy: 0.9589 - 610ms/epoch - 4ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1957 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.1964 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2032 - val_categorical_accuracy: 0.9576 - 610ms/epoch - 4ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2082 - val_categorical_accuracy: 0.9565 - 610ms/epoch - 4ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.1979 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1930 - val_categorical_accuracy: 0.9601 - 610ms/epoch - 4ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.2136 - val_categorical_accuracy: 0.9560 - 610ms/epoch - 4ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2264 - val_categorical_accuracy: 0.9505 - 610ms/epoch - 4ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2043 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1952 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9852 - val_loss: 0.2013 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2112 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9863 - val_loss: 0.2123 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.2321 - val_categorical_accuracy: 0.9510 - 620ms/epoch - 4ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.2000 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1964 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.1926 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1950 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.1997 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2097 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1994 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2291 - val_categorical_accuracy: 0.9566 - 610ms/epoch - 4ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9850 - val_loss: 0.2137 - val_categorical_accuracy: 0.9549 - 610ms/epoch - 4ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.1994 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.1922 - categorical_accuracy: 0.9558 - val_loss: 0.3289 - val_categorical_accuracy: 0.8906 - 610ms/epoch - 4ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0863 - categorical_accuracy: 0.9696 - val_loss: 0.1761 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9854 - val_loss: 0.1742 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9863 - val_loss: 0.1845 - val_categorical_accuracy: 0.9597 - 610ms/epoch - 4ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9869 - val_loss: 0.1840 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9873 - val_loss: 0.1919 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.1981 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1859 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2058 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2161 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9865 - val_loss: 0.2631 - val_categorical_accuracy: 0.9437 - 610ms/epoch - 4ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9798 - val_loss: 0.1869 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.1900 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.1877 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1895 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1845 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2209 - val_categorical_accuracy: 0.9533 - 620ms/epoch - 4ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.1901 - val_categorical_accuracy: 0.9607 - 610ms/epoch - 4ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1888 - val_categorical_accuracy: 0.9621 - 610ms/epoch - 4ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1974 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9869 - val_loss: 0.2003 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.1923 - val_categorical_accuracy: 0.9593 - 610ms/epoch - 4ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9864 - val_loss: 0.1936 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1944 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.1952 - val_categorical_accuracy: 0.9593 - 800ms/epoch - 6ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2241 - val_categorical_accuracy: 0.9518 - 620ms/epoch - 4ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9862 - val_loss: 0.2177 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1925 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.1978 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2047 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2063 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2020 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2061 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.2586 - categorical_accuracy: 0.9354 - val_loss: 0.1786 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9846 - val_loss: 0.1747 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9864 - val_loss: 0.1923 - val_categorical_accuracy: 0.9531 - 620ms/epoch - 4ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9866 - val_loss: 0.1913 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.1842 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1780 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.1918 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1914 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2035 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2058 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.1906 - val_categorical_accuracy: 0.9614 - 618ms/epoch - 4ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1967 - val_categorical_accuracy: 0.9587 - 623ms/epoch - 4ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9863 - val_loss: 0.2018 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2245 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.2054 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2030 - val_categorical_accuracy: 0.9586 - 612ms/epoch - 4ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.1957 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2147 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9863 - val_loss: 0.2017 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2257 - val_categorical_accuracy: 0.9536 - 620ms/epoch - 4ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9869 - val_loss: 0.2001 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0863 - categorical_accuracy: 0.9761 - val_loss: 0.2196 - val_categorical_accuracy: 0.9446 - 620ms/epoch - 4ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1933 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1880 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.1909 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.1929 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1984 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2276 - val_categorical_accuracy: 0.9514 - 620ms/epoch - 4ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9866 - val_loss: 0.1920 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2010 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.1874 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.1957 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.1955 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1939 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2007 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.2022 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2063 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.2068 - val_categorical_accuracy: 0.9555 - 610ms/epoch - 4ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.1943 - val_categorical_accuracy: 0.9627 - 620ms/epoch - 4ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2045 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2183 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2037 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9859 - val_loss: 0.1968 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2070 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2077 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1944 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.2068 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2189 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2112 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2084 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.1994 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2128 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.1254 - categorical_accuracy: 0.9680 - val_loss: 0.1918 - val_categorical_accuracy: 0.9509 - 620ms/epoch - 4ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9856 - val_loss: 0.1926 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.1855 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9873 - val_loss: 0.1905 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1897 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.1903 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.1999 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1910 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2141 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.1964 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9867 - val_loss: 0.2270 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.1931 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.1943 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.1932 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1990 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2269 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.1419 - categorical_accuracy: 0.9643 - val_loss: 0.1785 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.1837 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2135 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.2481 - categorical_accuracy: 0.9352 - val_loss: 0.1855 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9847 - val_loss: 0.1833 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9865 - val_loss: 0.1962 - val_categorical_accuracy: 0.9543 - 610ms/epoch - 4ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9868 - val_loss: 0.1797 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9873 - val_loss: 0.1874 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.1892 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1889 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.1893 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9875 - val_loss: 0.1825 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1995 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.1959 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9865 - val_loss: 0.2029 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2039 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2021 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9874 - val_loss: 0.2020 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.1985 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.2042 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1997 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.2129 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.2018 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1917 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2134 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1918 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.1988 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1976 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2103 - val_categorical_accuracy: 0.9553 - 610ms/epoch - 4ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1996 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2131 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9865 - val_loss: 0.1978 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.2013 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2096 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.2134 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9870 - val_loss: 0.2122 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2033 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2053 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2019 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.2077 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2153 - val_categorical_accuracy: 0.9566 - 610ms/epoch - 4ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9767 - val_loss: 0.2309 - val_categorical_accuracy: 0.9428 - 610ms/epoch - 4ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.2013 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.1940 - val_categorical_accuracy: 0.9595 - 622ms/epoch - 4ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2116 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2025 - val_categorical_accuracy: 0.9582 - 610ms/epoch - 4ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2181 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9874 - val_loss: 0.2219 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1981 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.1995 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0812 - categorical_accuracy: 0.9782 - val_loss: 0.2085 - val_categorical_accuracy: 0.9520 - 620ms/epoch - 4ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1919 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.1879 - val_categorical_accuracy: 0.9632 - 610ms/epoch - 4ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.1992 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2006 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2000 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2119 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2091 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9744 - val_loss: 0.1814 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1839 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.1854 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.1948 - val_categorical_accuracy: 0.9592 - 610ms/epoch - 4ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2113 - val_categorical_accuracy: 0.9560 - 610ms/epoch - 4ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9878 - val_loss: 0.2097 - val_categorical_accuracy: 0.9564 - 610ms/epoch - 4ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2039 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2049 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.1934 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.1261 - categorical_accuracy: 0.9680 - val_loss: 0.1728 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9871 - val_loss: 0.1827 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9877 - val_loss: 0.1783 - val_categorical_accuracy: 0.9627 - 610ms/epoch - 4ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9877 - val_loss: 0.1793 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.1929 - val_categorical_accuracy: 0.9619 - 610ms/epoch - 4ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9878 - val_loss: 0.1888 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2043 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2110 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9874 - val_loss: 0.1980 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2051 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1983 - val_categorical_accuracy: 0.9606 - 610ms/epoch - 4ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.1888 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2076 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2186 - val_categorical_accuracy: 0.9498 - 620ms/epoch - 4ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.1977 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1888 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1988 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.1993 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9870 - val_loss: 0.2239 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.1993 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2083 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.2084 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2091 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2016 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2014 - val_categorical_accuracy: 0.9609 - 610ms/epoch - 4ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.2135 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2033 - val_categorical_accuracy: 0.9613 - 610ms/epoch - 4ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2238 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.2446 - categorical_accuracy: 0.9358 - val_loss: 0.2005 - val_categorical_accuracy: 0.9531 - 620ms/epoch - 4ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9853 - val_loss: 0.1823 - val_categorical_accuracy: 0.9586 - 610ms/epoch - 4ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1808 - val_categorical_accuracy: 0.9618 - 610ms/epoch - 4ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9875 - val_loss: 0.1852 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9877 - val_loss: 0.1932 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9877 - val_loss: 0.1860 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9876 - val_loss: 0.1903 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1997 - val_categorical_accuracy: 0.9577 - 610ms/epoch - 4ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.1904 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.1915 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.1988 - val_categorical_accuracy: 0.9596 - 610ms/epoch - 4ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.1949 - val_categorical_accuracy: 0.9604 - 610ms/epoch - 4ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.1951 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1963 - val_categorical_accuracy: 0.9595 - 610ms/epoch - 4ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1986 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2000 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2026 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2155 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1899 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2023 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2207 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2158 - val_categorical_accuracy: 0.9557 - 610ms/epoch - 4ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2026 - val_categorical_accuracy: 0.9599 - 610ms/epoch - 4ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2114 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2027 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2120 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2084 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2096 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2352 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.1992 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.2215 - val_categorical_accuracy: 0.9550 - 620ms/epoch - 4ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2142 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1975 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2011 - val_categorical_accuracy: 0.9580 - 610ms/epoch - 4ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2029 - val_categorical_accuracy: 0.9588 - 610ms/epoch - 4ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.2202 - val_categorical_accuracy: 0.9558 - 610ms/epoch - 4ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2110 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.2081 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.2202 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2067 - val_categorical_accuracy: 0.9623 - 620ms/epoch - 4ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9874 - val_loss: 0.2039 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2147 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2199 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2171 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2378 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2110 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2417 - val_categorical_accuracy: 0.9524 - 626ms/epoch - 4ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.1672 - categorical_accuracy: 0.9586 - val_loss: 0.1888 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.1934 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9879 - val_loss: 0.1881 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9882 - val_loss: 0.2041 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2138 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2090 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2063 - val_categorical_accuracy: 0.9584 - 610ms/epoch - 4ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2169 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2315 - val_categorical_accuracy: 0.9536 - 620ms/epoch - 4ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2081 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2304 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2066 - val_categorical_accuracy: 0.9612 - 610ms/epoch - 4ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2075 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2075 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9879 - val_loss: 0.2265 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2050 - val_categorical_accuracy: 0.9602 - 610ms/epoch - 4ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2241 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.2074 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.1962 - val_categorical_accuracy: 0.9630 - 610ms/epoch - 4ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2025 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.2678 - categorical_accuracy: 0.9334 - val_loss: 0.3597 - val_categorical_accuracy: 0.8814 - 620ms/epoch - 4ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.1074 - categorical_accuracy: 0.9625 - val_loss: 0.1953 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9850 - val_loss: 0.1781 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9867 - val_loss: 0.1791 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2073 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9876 - val_loss: 0.1932 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9874 - val_loss: 0.2078 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9876 - val_loss: 0.1998 - val_categorical_accuracy: 0.9581 - 610ms/epoch - 4ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2040 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2020 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2077 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9880 - val_loss: 0.1971 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.1988 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2048 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2016 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2207 - val_categorical_accuracy: 0.9574 - 610ms/epoch - 4ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.1944 - val_categorical_accuracy: 0.9629 - 620ms/epoch - 4ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2106 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2051 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2053 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2127 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1987 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.2104 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2186 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9865 - val_loss: 0.2098 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2116 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9869 - val_loss: 0.2092 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9873 - val_loss: 0.2125 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.1996 - val_categorical_accuracy: 0.9633 - 620ms/epoch - 4ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.2103 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2050 - val_categorical_accuracy: 0.9620 - 610ms/epoch - 4ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2075 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2129 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2049 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.2193 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.2261 - val_categorical_accuracy: 0.9537 - 610ms/epoch - 4ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2074 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2138 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2143 - val_categorical_accuracy: 0.9591 - 610ms/epoch - 4ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2279 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.1900 - categorical_accuracy: 0.9528 - val_loss: 0.1844 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9869 - val_loss: 0.2113 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9876 - val_loss: 0.2057 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.1956 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9882 - val_loss: 0.1961 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2067 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2010 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.1984 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2124 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2228 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9861 - val_loss: 0.2147 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1937 - val_categorical_accuracy: 0.9622 - 620ms/epoch - 4ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2195 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.1303 - categorical_accuracy: 0.9656 - val_loss: 0.1869 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.1907 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9882 - val_loss: 0.2079 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.1978 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.2072 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9879 - val_loss: 0.1947 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.1951 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.1979 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2080 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2038 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2091 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2035 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2135 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2132 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2053 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2140 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2098 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2028 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2191 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2025 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2117 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9875 - val_loss: 0.2100 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2289 - val_categorical_accuracy: 0.9551 - 622ms/epoch - 4ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.2051 - categorical_accuracy: 0.9480 - val_loss: 0.1958 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9866 - val_loss: 0.2071 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.1918 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9881 - val_loss: 0.1965 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2265 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.1977 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9884 - val_loss: 0.1992 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2074 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.1954 - val_categorical_accuracy: 0.9621 - 620ms/epoch - 4ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.2091 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2098 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.1985 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.1993 - val_categorical_accuracy: 0.9628 - 620ms/epoch - 4ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2028 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2260 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9877 - val_loss: 0.2039 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2106 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2235 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.2414 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.1465 - categorical_accuracy: 0.9630 - val_loss: 0.1794 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9877 - val_loss: 0.2086 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1891 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.1968 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.1989 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2176 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.1988 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2008 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2080 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2111 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2065 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2049 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2087 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2127 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9880 - val_loss: 0.2104 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2019 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2153 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.2422 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9849 - val_loss: 0.2113 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2173 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2035 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2083 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.2163 - val_categorical_accuracy: 0.9586 - 650ms/epoch - 5ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.2061 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2187 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2177 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2084 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2127 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2226 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2348 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2219 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2145 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2134 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2058 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2073 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2066 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2145 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2146 - val_categorical_accuracy: 0.9601 - 800ms/epoch - 6ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2504 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2153 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2069 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2259 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2036 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2188 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.2384 - categorical_accuracy: 0.9422 - val_loss: 0.3039 - val_categorical_accuracy: 0.9049 - 620ms/epoch - 4ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0870 - categorical_accuracy: 0.9695 - val_loss: 0.1948 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.1894 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.1988 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9881 - val_loss: 0.1937 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9882 - val_loss: 0.1979 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.2035 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2009 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2037 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.1951 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2042 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2126 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2136 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2308 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2137 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2139 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2048 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2044 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2106 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2090 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2146 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2155 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.2219 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2014 - val_categorical_accuracy: 0.9624 - 620ms/epoch - 4ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0635 - categorical_accuracy: 0.9810 - val_loss: 0.2470 - val_categorical_accuracy: 0.9454 - 620ms/epoch - 4ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.2037 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2179 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2040 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2064 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2246 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2109 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2133 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2151 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2153 - val_categorical_accuracy: 0.9611 - 616ms/epoch - 4ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2146 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.2088 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2420 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2180 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2238 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2135 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2225 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2355 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2139 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2309 - val_categorical_accuracy: 0.9533 - 620ms/epoch - 4ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9768 - val_loss: 0.2087 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2018 - val_categorical_accuracy: 0.9627 - 620ms/epoch - 4ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.1957 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2236 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2089 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.2019 - val_categorical_accuracy: 0.9636 - 620ms/epoch - 4ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2095 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2232 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2295 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2046 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2057 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2330 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2026 - val_categorical_accuracy: 0.9635 - 620ms/epoch - 4ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2225 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2208 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2176 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.2271 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2131 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2259 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2226 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2265 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2206 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2427 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9872 - val_loss: 0.2114 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2265 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2249 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2132 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2265 - val_categorical_accuracy: 0.9579 - 610ms/epoch - 4ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2118 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2175 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2262 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2260 - val_categorical_accuracy: 0.9547 - 640ms/epoch - 5ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2120 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2215 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2291 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2077 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2151 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2257 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2131 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2093 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2234 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2189 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2148 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.2257 - categorical_accuracy: 0.9455 - val_loss: 0.2410 - val_categorical_accuracy: 0.9289 - 620ms/epoch - 4ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9774 - val_loss: 0.1898 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9872 - val_loss: 0.1883 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9882 - val_loss: 0.2047 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.1955 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9886 - val_loss: 0.2038 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2094 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2007 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2162 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2231 - val_categorical_accuracy: 0.9536 - 620ms/epoch - 4ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.2219 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9753 - val_loss: 0.1959 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.1886 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9886 - val_loss: 0.1942 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2044 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2073 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2000 - val_categorical_accuracy: 0.9608 - 610ms/epoch - 4ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2144 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2182 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9873 - val_loss: 0.2047 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2200 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2234 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2078 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2053 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2109 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2091 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2136 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2141 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2293 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.2266 - val_categorical_accuracy: 0.9616 - 610ms/epoch - 4ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2185 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.1740 - categorical_accuracy: 0.9562 - val_loss: 0.1924 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9877 - val_loss: 0.1911 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.1920 - val_categorical_accuracy: 0.9635 - 620ms/epoch - 4ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9889 - val_loss: 0.1960 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2051 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9887 - val_loss: 0.1913 - val_categorical_accuracy: 0.9629 - 620ms/epoch - 4ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2083 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2015 - val_categorical_accuracy: 0.9630 - 620ms/epoch - 4ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2032 - val_categorical_accuracy: 0.9626 - 620ms/epoch - 4ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2105 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2204 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2134 - val_categorical_accuracy: 0.9602 - 616ms/epoch - 4ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2043 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2173 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2072 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2091 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2141 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9885 - val_loss: 0.2091 - val_categorical_accuracy: 0.9605 - 610ms/epoch - 4ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2136 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2260 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2154 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2169 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2148 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2203 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2267 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2121 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2259 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2161 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.2332 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2160 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2211 - val_categorical_accuracy: 0.9598 - 610ms/epoch - 4ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2236 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2322 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2434 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.1595 - categorical_accuracy: 0.9600 - val_loss: 0.1907 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9881 - val_loss: 0.1904 - val_categorical_accuracy: 0.9614 - 610ms/epoch - 4ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9886 - val_loss: 0.2021 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9886 - val_loss: 0.1961 - val_categorical_accuracy: 0.9632 - 620ms/epoch - 4ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2121 - val_categorical_accuracy: 0.9611 - 610ms/epoch - 4ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9886 - val_loss: 0.2055 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2200 - val_categorical_accuracy: 0.9585 - 610ms/epoch - 4ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2054 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9890 - val_loss: 0.2123 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
processing fold # 7 
Epoch 1/1500
141/141 - 1s - loss: 1.9470 - categorical_accuracy: 0.2611 - val_loss: 1.6463 - val_categorical_accuracy: 0.3826 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5512 - categorical_accuracy: 0.4099 - val_loss: 1.3876 - val_categorical_accuracy: 0.4673 - 620ms/epoch - 4ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.3199 - categorical_accuracy: 0.5017 - val_loss: 1.1884 - val_categorical_accuracy: 0.5564 - 620ms/epoch - 4ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1768 - categorical_accuracy: 0.5558 - val_loss: 1.0922 - val_categorical_accuracy: 0.5797 - 630ms/epoch - 4ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.0611 - categorical_accuracy: 0.6043 - val_loss: 0.9233 - val_categorical_accuracy: 0.6517 - 620ms/epoch - 4ms/step
Epoch 6/1500
141/141 - 1s - loss: 1.0599 - categorical_accuracy: 0.6246 - val_loss: 2.0440 - val_categorical_accuracy: 0.1710 - 660ms/epoch - 5ms/step
Epoch 7/1500
141/141 - 1s - loss: 1.3521 - categorical_accuracy: 0.4985 - val_loss: 0.9375 - val_categorical_accuracy: 0.6522 - 640ms/epoch - 5ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.8634 - categorical_accuracy: 0.6758 - val_loss: 0.8722 - val_categorical_accuracy: 0.6699 - 630ms/epoch - 4ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7785 - categorical_accuracy: 0.7065 - val_loss: 0.7733 - val_categorical_accuracy: 0.7111 - 650ms/epoch - 5ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.9772 - categorical_accuracy: 0.6612 - val_loss: 0.7885 - val_categorical_accuracy: 0.7076 - 650ms/epoch - 5ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.7095 - categorical_accuracy: 0.7357 - val_loss: 0.7021 - val_categorical_accuracy: 0.7385 - 640ms/epoch - 5ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6962 - categorical_accuracy: 0.7456 - val_loss: 0.6549 - val_categorical_accuracy: 0.7546 - 620ms/epoch - 4ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.6130 - categorical_accuracy: 0.7718 - val_loss: 0.5886 - val_categorical_accuracy: 0.7774 - 620ms/epoch - 4ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5952 - categorical_accuracy: 0.7801 - val_loss: 0.5895 - val_categorical_accuracy: 0.7764 - 620ms/epoch - 4ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.6582 - categorical_accuracy: 0.7671 - val_loss: 0.5394 - val_categorical_accuracy: 0.8001 - 620ms/epoch - 4ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5472 - categorical_accuracy: 0.7979 - val_loss: 0.5345 - val_categorical_accuracy: 0.8034 - 620ms/epoch - 4ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5267 - categorical_accuracy: 0.8057 - val_loss: 0.7265 - val_categorical_accuracy: 0.7445 - 620ms/epoch - 4ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4974 - categorical_accuracy: 0.8162 - val_loss: 0.4660 - val_categorical_accuracy: 0.8249 - 620ms/epoch - 4ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.5434 - categorical_accuracy: 0.8059 - val_loss: 0.4439 - val_categorical_accuracy: 0.8387 - 620ms/epoch - 4ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.5268 - categorical_accuracy: 0.8132 - val_loss: 0.4648 - val_categorical_accuracy: 0.8309 - 620ms/epoch - 4ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4600 - categorical_accuracy: 0.8328 - val_loss: 0.4219 - val_categorical_accuracy: 0.8461 - 630ms/epoch - 4ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.4213 - categorical_accuracy: 0.8441 - val_loss: 0.5547 - val_categorical_accuracy: 0.7994 - 630ms/epoch - 4ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4449 - categorical_accuracy: 0.8401 - val_loss: 0.4044 - val_categorical_accuracy: 0.8512 - 620ms/epoch - 4ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3955 - categorical_accuracy: 0.8546 - val_loss: 0.3938 - val_categorical_accuracy: 0.8565 - 620ms/epoch - 4ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.4433 - categorical_accuracy: 0.8458 - val_loss: 0.3973 - val_categorical_accuracy: 0.8535 - 620ms/epoch - 4ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3961 - categorical_accuracy: 0.8575 - val_loss: 0.3938 - val_categorical_accuracy: 0.8547 - 660ms/epoch - 5ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3675 - categorical_accuracy: 0.8658 - val_loss: 0.3947 - val_categorical_accuracy: 0.8551 - 620ms/epoch - 4ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3619 - categorical_accuracy: 0.8708 - val_loss: 0.5161 - val_categorical_accuracy: 0.8134 - 620ms/epoch - 4ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.3482 - categorical_accuracy: 0.8733 - val_loss: 0.3911 - val_categorical_accuracy: 0.8566 - 620ms/epoch - 4ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3572 - categorical_accuracy: 0.8721 - val_loss: 0.4286 - val_categorical_accuracy: 0.8426 - 620ms/epoch - 4ms/step
Epoch 31/1500
141/141 - 1s - loss: 1.1503 - categorical_accuracy: 0.6511 - val_loss: 0.5803 - val_categorical_accuracy: 0.7949 - 620ms/epoch - 4ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.4853 - categorical_accuracy: 0.8269 - val_loss: 0.4181 - val_categorical_accuracy: 0.8496 - 620ms/epoch - 4ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3994 - categorical_accuracy: 0.8554 - val_loss: 0.4027 - val_categorical_accuracy: 0.8548 - 620ms/epoch - 4ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.4784 - categorical_accuracy: 0.8416 - val_loss: 0.3622 - val_categorical_accuracy: 0.8697 - 620ms/epoch - 4ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.3367 - categorical_accuracy: 0.8791 - val_loss: 0.3762 - val_categorical_accuracy: 0.8678 - 620ms/epoch - 4ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.3306 - categorical_accuracy: 0.8806 - val_loss: 0.3304 - val_categorical_accuracy: 0.8818 - 630ms/epoch - 4ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3314 - categorical_accuracy: 0.8830 - val_loss: 0.3365 - val_categorical_accuracy: 0.8792 - 620ms/epoch - 4ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3058 - categorical_accuracy: 0.8897 - val_loss: 0.3012 - val_categorical_accuracy: 0.8960 - 630ms/epoch - 4ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.3064 - categorical_accuracy: 0.8906 - val_loss: 0.3555 - val_categorical_accuracy: 0.8740 - 620ms/epoch - 4ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2899 - categorical_accuracy: 0.8963 - val_loss: 0.3155 - val_categorical_accuracy: 0.8889 - 620ms/epoch - 4ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2942 - categorical_accuracy: 0.8959 - val_loss: 0.3808 - val_categorical_accuracy: 0.8646 - 630ms/epoch - 4ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2766 - categorical_accuracy: 0.9006 - val_loss: 0.3216 - val_categorical_accuracy: 0.8893 - 630ms/epoch - 4ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2775 - categorical_accuracy: 0.9000 - val_loss: 0.2723 - val_categorical_accuracy: 0.9053 - 620ms/epoch - 4ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.4534 - categorical_accuracy: 0.8579 - val_loss: 0.2893 - val_categorical_accuracy: 0.8974 - 620ms/epoch - 4ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2575 - categorical_accuracy: 0.9081 - val_loss: 0.3096 - val_categorical_accuracy: 0.8900 - 630ms/epoch - 4ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2552 - categorical_accuracy: 0.9086 - val_loss: 0.2641 - val_categorical_accuracy: 0.9062 - 630ms/epoch - 4ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.3783 - categorical_accuracy: 0.8793 - val_loss: 0.2683 - val_categorical_accuracy: 0.9054 - 620ms/epoch - 4ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2488 - categorical_accuracy: 0.9119 - val_loss: 0.2587 - val_categorical_accuracy: 0.9101 - 800ms/epoch - 6ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2378 - categorical_accuracy: 0.9158 - val_loss: 0.2533 - val_categorical_accuracy: 0.9127 - 630ms/epoch - 4ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2405 - categorical_accuracy: 0.9153 - val_loss: 0.2717 - val_categorical_accuracy: 0.9058 - 630ms/epoch - 4ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2346 - categorical_accuracy: 0.9170 - val_loss: 0.2600 - val_categorical_accuracy: 0.9077 - 630ms/epoch - 4ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2388 - categorical_accuracy: 0.9164 - val_loss: 0.2380 - val_categorical_accuracy: 0.9167 - 630ms/epoch - 4ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2347 - categorical_accuracy: 0.9173 - val_loss: 0.2508 - val_categorical_accuracy: 0.9120 - 630ms/epoch - 4ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2183 - categorical_accuracy: 0.9229 - val_loss: 0.2527 - val_categorical_accuracy: 0.9121 - 630ms/epoch - 4ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2202 - categorical_accuracy: 0.9224 - val_loss: 0.3118 - val_categorical_accuracy: 0.8915 - 630ms/epoch - 4ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2207 - categorical_accuracy: 0.9215 - val_loss: 0.2469 - val_categorical_accuracy: 0.9150 - 630ms/epoch - 4ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.3553 - categorical_accuracy: 0.8883 - val_loss: 0.3302 - val_categorical_accuracy: 0.8853 - 630ms/epoch - 4ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2111 - categorical_accuracy: 0.9266 - val_loss: 0.2331 - val_categorical_accuracy: 0.9199 - 630ms/epoch - 4ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.2201 - categorical_accuracy: 0.9236 - val_loss: 0.2268 - val_categorical_accuracy: 0.9235 - 630ms/epoch - 4ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2085 - categorical_accuracy: 0.9271 - val_loss: 0.2249 - val_categorical_accuracy: 0.9221 - 630ms/epoch - 4ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.2009 - categorical_accuracy: 0.9296 - val_loss: 0.2135 - val_categorical_accuracy: 0.9259 - 630ms/epoch - 4ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.2064 - categorical_accuracy: 0.9289 - val_loss: 0.2144 - val_categorical_accuracy: 0.9265 - 630ms/epoch - 4ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1917 - categorical_accuracy: 0.9330 - val_loss: 0.2722 - val_categorical_accuracy: 0.9046 - 622ms/epoch - 4ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1880 - categorical_accuracy: 0.9344 - val_loss: 0.2445 - val_categorical_accuracy: 0.9149 - 630ms/epoch - 4ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.2216 - categorical_accuracy: 0.9267 - val_loss: 0.2465 - val_categorical_accuracy: 0.9167 - 630ms/epoch - 4ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1865 - categorical_accuracy: 0.9344 - val_loss: 0.2397 - val_categorical_accuracy: 0.9193 - 630ms/epoch - 4ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1858 - categorical_accuracy: 0.9347 - val_loss: 0.2359 - val_categorical_accuracy: 0.9175 - 630ms/epoch - 4ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1776 - categorical_accuracy: 0.9379 - val_loss: 0.3592 - val_categorical_accuracy: 0.8766 - 630ms/epoch - 4ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.2047 - categorical_accuracy: 0.9312 - val_loss: 0.2187 - val_categorical_accuracy: 0.9260 - 630ms/epoch - 4ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1797 - categorical_accuracy: 0.9379 - val_loss: 0.2256 - val_categorical_accuracy: 0.9233 - 640ms/epoch - 5ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1734 - categorical_accuracy: 0.9396 - val_loss: 0.2298 - val_categorical_accuracy: 0.9221 - 630ms/epoch - 4ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1937 - categorical_accuracy: 0.9341 - val_loss: 0.2208 - val_categorical_accuracy: 0.9257 - 630ms/epoch - 4ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1703 - categorical_accuracy: 0.9407 - val_loss: 0.3329 - val_categorical_accuracy: 0.8917 - 630ms/epoch - 4ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1794 - categorical_accuracy: 0.9382 - val_loss: 0.2340 - val_categorical_accuracy: 0.9265 - 620ms/epoch - 4ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1701 - categorical_accuracy: 0.9413 - val_loss: 0.3484 - val_categorical_accuracy: 0.8776 - 630ms/epoch - 4ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1668 - categorical_accuracy: 0.9421 - val_loss: 0.2649 - val_categorical_accuracy: 0.9125 - 630ms/epoch - 4ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1672 - categorical_accuracy: 0.9423 - val_loss: 0.2102 - val_categorical_accuracy: 0.9310 - 630ms/epoch - 4ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1660 - categorical_accuracy: 0.9424 - val_loss: 0.2035 - val_categorical_accuracy: 0.9325 - 630ms/epoch - 4ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1741 - categorical_accuracy: 0.9410 - val_loss: 0.2103 - val_categorical_accuracy: 0.9310 - 630ms/epoch - 4ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1739 - categorical_accuracy: 0.9401 - val_loss: 0.2095 - val_categorical_accuracy: 0.9292 - 630ms/epoch - 4ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1491 - categorical_accuracy: 0.9480 - val_loss: 0.2067 - val_categorical_accuracy: 0.9311 - 630ms/epoch - 4ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1649 - categorical_accuracy: 0.9433 - val_loss: 0.3527 - val_categorical_accuracy: 0.8823 - 630ms/epoch - 4ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1663 - categorical_accuracy: 0.9434 - val_loss: 0.1993 - val_categorical_accuracy: 0.9324 - 630ms/epoch - 4ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1812 - categorical_accuracy: 0.9406 - val_loss: 0.2039 - val_categorical_accuracy: 0.9311 - 630ms/epoch - 4ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1406 - categorical_accuracy: 0.9515 - val_loss: 0.1904 - val_categorical_accuracy: 0.9351 - 630ms/epoch - 4ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1599 - categorical_accuracy: 0.9456 - val_loss: 0.2027 - val_categorical_accuracy: 0.9333 - 630ms/epoch - 4ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1384 - categorical_accuracy: 0.9522 - val_loss: 0.2156 - val_categorical_accuracy: 0.9254 - 630ms/epoch - 4ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1560 - categorical_accuracy: 0.9465 - val_loss: 0.1876 - val_categorical_accuracy: 0.9371 - 630ms/epoch - 4ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1412 - categorical_accuracy: 0.9515 - val_loss: 0.2650 - val_categorical_accuracy: 0.9112 - 630ms/epoch - 4ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1443 - categorical_accuracy: 0.9501 - val_loss: 0.2118 - val_categorical_accuracy: 0.9303 - 630ms/epoch - 4ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1469 - categorical_accuracy: 0.9496 - val_loss: 0.1988 - val_categorical_accuracy: 0.9332 - 630ms/epoch - 4ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1395 - categorical_accuracy: 0.9516 - val_loss: 0.2003 - val_categorical_accuracy: 0.9318 - 640ms/epoch - 5ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.2481 - categorical_accuracy: 0.9268 - val_loss: 0.1873 - val_categorical_accuracy: 0.9370 - 630ms/epoch - 4ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1306 - categorical_accuracy: 0.9555 - val_loss: 0.2647 - val_categorical_accuracy: 0.9158 - 620ms/epoch - 4ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1710 - categorical_accuracy: 0.9442 - val_loss: 0.1883 - val_categorical_accuracy: 0.9350 - 630ms/epoch - 4ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1321 - categorical_accuracy: 0.9547 - val_loss: 0.1942 - val_categorical_accuracy: 0.9332 - 630ms/epoch - 4ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1361 - categorical_accuracy: 0.9532 - val_loss: 0.1799 - val_categorical_accuracy: 0.9415 - 630ms/epoch - 4ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1291 - categorical_accuracy: 0.9554 - val_loss: 0.1869 - val_categorical_accuracy: 0.9383 - 630ms/epoch - 4ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1421 - categorical_accuracy: 0.9516 - val_loss: 0.1930 - val_categorical_accuracy: 0.9345 - 630ms/epoch - 4ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1879 - categorical_accuracy: 0.9423 - val_loss: 0.1790 - val_categorical_accuracy: 0.9415 - 630ms/epoch - 4ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1206 - categorical_accuracy: 0.9585 - val_loss: 0.1888 - val_categorical_accuracy: 0.9379 - 630ms/epoch - 4ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1435 - categorical_accuracy: 0.9521 - val_loss: 0.1830 - val_categorical_accuracy: 0.9400 - 640ms/epoch - 5ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1203 - categorical_accuracy: 0.9588 - val_loss: 0.1814 - val_categorical_accuracy: 0.9392 - 620ms/epoch - 4ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1304 - categorical_accuracy: 0.9552 - val_loss: 0.5139 - val_categorical_accuracy: 0.8479 - 650ms/epoch - 5ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1436 - categorical_accuracy: 0.9519 - val_loss: 0.2284 - val_categorical_accuracy: 0.9252 - 650ms/epoch - 5ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1436 - categorical_accuracy: 0.9514 - val_loss: 0.1779 - val_categorical_accuracy: 0.9404 - 640ms/epoch - 5ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1162 - categorical_accuracy: 0.9603 - val_loss: 0.2308 - val_categorical_accuracy: 0.9272 - 630ms/epoch - 4ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1263 - categorical_accuracy: 0.9562 - val_loss: 0.1797 - val_categorical_accuracy: 0.9422 - 630ms/epoch - 4ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1328 - categorical_accuracy: 0.9540 - val_loss: 0.3781 - val_categorical_accuracy: 0.8833 - 630ms/epoch - 4ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1358 - categorical_accuracy: 0.9547 - val_loss: 0.1733 - val_categorical_accuracy: 0.9414 - 630ms/epoch - 4ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1160 - categorical_accuracy: 0.9602 - val_loss: 0.2329 - val_categorical_accuracy: 0.9239 - 630ms/epoch - 4ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.3967 - categorical_accuracy: 0.8803 - val_loss: 0.2075 - val_categorical_accuracy: 0.9320 - 630ms/epoch - 4ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1392 - categorical_accuracy: 0.9524 - val_loss: 0.1909 - val_categorical_accuracy: 0.9397 - 630ms/epoch - 4ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1234 - categorical_accuracy: 0.9583 - val_loss: 0.2027 - val_categorical_accuracy: 0.9352 - 630ms/epoch - 4ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1215 - categorical_accuracy: 0.9582 - val_loss: 0.3466 - val_categorical_accuracy: 0.8894 - 630ms/epoch - 4ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1204 - categorical_accuracy: 0.9591 - val_loss: 0.1745 - val_categorical_accuracy: 0.9412 - 630ms/epoch - 4ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1192 - categorical_accuracy: 0.9590 - val_loss: 0.2281 - val_categorical_accuracy: 0.9300 - 620ms/epoch - 4ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1157 - categorical_accuracy: 0.9603 - val_loss: 0.2081 - val_categorical_accuracy: 0.9285 - 620ms/epoch - 4ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1284 - categorical_accuracy: 0.9568 - val_loss: 0.1720 - val_categorical_accuracy: 0.9430 - 630ms/epoch - 4ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1103 - categorical_accuracy: 0.9625 - val_loss: 0.1668 - val_categorical_accuracy: 0.9463 - 630ms/epoch - 4ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1147 - categorical_accuracy: 0.9607 - val_loss: 0.1884 - val_categorical_accuracy: 0.9380 - 630ms/epoch - 4ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1242 - categorical_accuracy: 0.9580 - val_loss: 0.1834 - val_categorical_accuracy: 0.9422 - 620ms/epoch - 4ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1049 - categorical_accuracy: 0.9639 - val_loss: 0.1695 - val_categorical_accuracy: 0.9447 - 620ms/epoch - 4ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1112 - categorical_accuracy: 0.9613 - val_loss: 0.1709 - val_categorical_accuracy: 0.9440 - 620ms/epoch - 4ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1197 - categorical_accuracy: 0.9587 - val_loss: 0.1743 - val_categorical_accuracy: 0.9444 - 630ms/epoch - 4ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1066 - categorical_accuracy: 0.9631 - val_loss: 0.2222 - val_categorical_accuracy: 0.9318 - 630ms/epoch - 4ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1080 - categorical_accuracy: 0.9629 - val_loss: 0.1922 - val_categorical_accuracy: 0.9390 - 630ms/epoch - 4ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1643 - categorical_accuracy: 0.9484 - val_loss: 0.1626 - val_categorical_accuracy: 0.9476 - 630ms/epoch - 4ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1051 - categorical_accuracy: 0.9641 - val_loss: 0.2016 - val_categorical_accuracy: 0.9364 - 620ms/epoch - 4ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1044 - categorical_accuracy: 0.9643 - val_loss: 0.2367 - val_categorical_accuracy: 0.9197 - 630ms/epoch - 4ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1597 - categorical_accuracy: 0.9518 - val_loss: 0.1558 - val_categorical_accuracy: 0.9496 - 630ms/epoch - 4ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1063 - categorical_accuracy: 0.9636 - val_loss: 0.1722 - val_categorical_accuracy: 0.9428 - 630ms/epoch - 4ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9664 - val_loss: 0.2104 - val_categorical_accuracy: 0.9351 - 630ms/epoch - 4ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1028 - categorical_accuracy: 0.9643 - val_loss: 0.1824 - val_categorical_accuracy: 0.9412 - 620ms/epoch - 4ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1282 - categorical_accuracy: 0.9580 - val_loss: 0.1847 - val_categorical_accuracy: 0.9371 - 630ms/epoch - 4ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.0970 - categorical_accuracy: 0.9672 - val_loss: 0.1837 - val_categorical_accuracy: 0.9429 - 630ms/epoch - 4ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1072 - categorical_accuracy: 0.9631 - val_loss: 0.1654 - val_categorical_accuracy: 0.9484 - 620ms/epoch - 4ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1704 - categorical_accuracy: 0.9493 - val_loss: 0.1839 - val_categorical_accuracy: 0.9365 - 620ms/epoch - 4ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0987 - categorical_accuracy: 0.9661 - val_loss: 0.1873 - val_categorical_accuracy: 0.9372 - 620ms/epoch - 4ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0956 - categorical_accuracy: 0.9671 - val_loss: 0.2494 - val_categorical_accuracy: 0.9150 - 630ms/epoch - 4ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1263 - categorical_accuracy: 0.9587 - val_loss: 0.1551 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0965 - categorical_accuracy: 0.9671 - val_loss: 0.1721 - val_categorical_accuracy: 0.9467 - 620ms/epoch - 4ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1154 - categorical_accuracy: 0.9613 - val_loss: 0.1607 - val_categorical_accuracy: 0.9483 - 620ms/epoch - 4ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0933 - categorical_accuracy: 0.9682 - val_loss: 0.3727 - val_categorical_accuracy: 0.8937 - 630ms/epoch - 4ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.1017 - categorical_accuracy: 0.9653 - val_loss: 0.1884 - val_categorical_accuracy: 0.9430 - 630ms/epoch - 4ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1227 - categorical_accuracy: 0.9604 - val_loss: 0.2564 - val_categorical_accuracy: 0.9208 - 630ms/epoch - 4ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1007 - categorical_accuracy: 0.9657 - val_loss: 0.1964 - val_categorical_accuracy: 0.9405 - 620ms/epoch - 4ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0913 - categorical_accuracy: 0.9688 - val_loss: 0.1775 - val_categorical_accuracy: 0.9465 - 630ms/epoch - 4ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0925 - categorical_accuracy: 0.9682 - val_loss: 0.1778 - val_categorical_accuracy: 0.9425 - 630ms/epoch - 4ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.1050 - categorical_accuracy: 0.9643 - val_loss: 0.1535 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0935 - categorical_accuracy: 0.9677 - val_loss: 0.2690 - val_categorical_accuracy: 0.9238 - 620ms/epoch - 4ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.2993 - categorical_accuracy: 0.9169 - val_loss: 0.1627 - val_categorical_accuracy: 0.9489 - 630ms/epoch - 4ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0915 - categorical_accuracy: 0.9693 - val_loss: 0.1809 - val_categorical_accuracy: 0.9425 - 630ms/epoch - 4ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0931 - categorical_accuracy: 0.9681 - val_loss: 0.2180 - val_categorical_accuracy: 0.9329 - 620ms/epoch - 4ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.1067 - categorical_accuracy: 0.9646 - val_loss: 0.1648 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0908 - categorical_accuracy: 0.9686 - val_loss: 0.2430 - val_categorical_accuracy: 0.9273 - 630ms/epoch - 4ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0902 - categorical_accuracy: 0.9688 - val_loss: 0.1779 - val_categorical_accuracy: 0.9427 - 630ms/epoch - 4ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0906 - categorical_accuracy: 0.9688 - val_loss: 0.2796 - val_categorical_accuracy: 0.9195 - 620ms/epoch - 4ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.1295 - categorical_accuracy: 0.9593 - val_loss: 0.1591 - val_categorical_accuracy: 0.9511 - 636ms/epoch - 5ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0960 - categorical_accuracy: 0.9674 - val_loss: 0.1869 - val_categorical_accuracy: 0.9382 - 630ms/epoch - 4ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0904 - categorical_accuracy: 0.9688 - val_loss: 0.1860 - val_categorical_accuracy: 0.9405 - 630ms/epoch - 4ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.1125 - categorical_accuracy: 0.9629 - val_loss: 0.1550 - val_categorical_accuracy: 0.9512 - 620ms/epoch - 4ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9704 - val_loss: 0.1720 - val_categorical_accuracy: 0.9465 - 620ms/epoch - 4ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0831 - categorical_accuracy: 0.9717 - val_loss: 0.1936 - val_categorical_accuracy: 0.9439 - 620ms/epoch - 4ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.1241 - categorical_accuracy: 0.9609 - val_loss: 0.1614 - val_categorical_accuracy: 0.9514 - 620ms/epoch - 4ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9716 - val_loss: 0.1835 - val_categorical_accuracy: 0.9443 - 630ms/epoch - 4ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9692 - val_loss: 0.1669 - val_categorical_accuracy: 0.9485 - 620ms/epoch - 4ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0845 - categorical_accuracy: 0.9709 - val_loss: 0.1732 - val_categorical_accuracy: 0.9465 - 620ms/epoch - 4ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.1249 - categorical_accuracy: 0.9615 - val_loss: 0.1591 - val_categorical_accuracy: 0.9525 - 620ms/epoch - 4ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9718 - val_loss: 0.1731 - val_categorical_accuracy: 0.9464 - 630ms/epoch - 4ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.1239 - categorical_accuracy: 0.9615 - val_loss: 0.1964 - val_categorical_accuracy: 0.9420 - 630ms/epoch - 4ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0826 - categorical_accuracy: 0.9718 - val_loss: 0.1551 - val_categorical_accuracy: 0.9526 - 620ms/epoch - 4ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9724 - val_loss: 0.2232 - val_categorical_accuracy: 0.9281 - 630ms/epoch - 4ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.1319 - categorical_accuracy: 0.9601 - val_loss: 0.2317 - val_categorical_accuracy: 0.9296 - 620ms/epoch - 4ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0985 - categorical_accuracy: 0.9674 - val_loss: 0.1603 - val_categorical_accuracy: 0.9497 - 630ms/epoch - 4ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0810 - categorical_accuracy: 0.9726 - val_loss: 0.1640 - val_categorical_accuracy: 0.9501 - 630ms/epoch - 4ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0821 - categorical_accuracy: 0.9718 - val_loss: 0.1654 - val_categorical_accuracy: 0.9525 - 620ms/epoch - 4ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0924 - categorical_accuracy: 0.9692 - val_loss: 0.1764 - val_categorical_accuracy: 0.9451 - 620ms/epoch - 4ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9712 - val_loss: 0.1632 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0834 - categorical_accuracy: 0.9713 - val_loss: 0.1878 - val_categorical_accuracy: 0.9445 - 620ms/epoch - 4ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.1271 - categorical_accuracy: 0.9612 - val_loss: 0.1674 - val_categorical_accuracy: 0.9470 - 630ms/epoch - 4ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9727 - val_loss: 0.1761 - val_categorical_accuracy: 0.9482 - 620ms/epoch - 4ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0807 - categorical_accuracy: 0.9723 - val_loss: 0.1880 - val_categorical_accuracy: 0.9415 - 620ms/epoch - 4ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0782 - categorical_accuracy: 0.9733 - val_loss: 0.3265 - val_categorical_accuracy: 0.9067 - 620ms/epoch - 4ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.1299 - categorical_accuracy: 0.9607 - val_loss: 0.1784 - val_categorical_accuracy: 0.9496 - 620ms/epoch - 4ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0904 - categorical_accuracy: 0.9695 - val_loss: 0.1721 - val_categorical_accuracy: 0.9448 - 620ms/epoch - 4ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.1018 - categorical_accuracy: 0.9677 - val_loss: 0.1629 - val_categorical_accuracy: 0.9504 - 630ms/epoch - 4ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9735 - val_loss: 0.1542 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0859 - categorical_accuracy: 0.9712 - val_loss: 0.4042 - val_categorical_accuracy: 0.8919 - 620ms/epoch - 4ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9720 - val_loss: 0.1721 - val_categorical_accuracy: 0.9490 - 620ms/epoch - 4ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0810 - categorical_accuracy: 0.9725 - val_loss: 0.1796 - val_categorical_accuracy: 0.9446 - 630ms/epoch - 4ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9749 - val_loss: 0.1697 - val_categorical_accuracy: 0.9490 - 620ms/epoch - 4ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0771 - categorical_accuracy: 0.9734 - val_loss: 0.1863 - val_categorical_accuracy: 0.9444 - 630ms/epoch - 4ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9728 - val_loss: 0.1592 - val_categorical_accuracy: 0.9536 - 620ms/epoch - 4ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0743 - categorical_accuracy: 0.9741 - val_loss: 0.2029 - val_categorical_accuracy: 0.9447 - 620ms/epoch - 4ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0908 - categorical_accuracy: 0.9694 - val_loss: 0.1700 - val_categorical_accuracy: 0.9491 - 630ms/epoch - 4ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9735 - val_loss: 0.2391 - val_categorical_accuracy: 0.9345 - 630ms/epoch - 4ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0769 - categorical_accuracy: 0.9735 - val_loss: 0.1527 - val_categorical_accuracy: 0.9554 - 640ms/epoch - 5ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.1228 - categorical_accuracy: 0.9633 - val_loss: 0.2088 - val_categorical_accuracy: 0.9330 - 620ms/epoch - 4ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0775 - categorical_accuracy: 0.9735 - val_loss: 0.1701 - val_categorical_accuracy: 0.9508 - 650ms/epoch - 5ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9742 - val_loss: 0.1646 - val_categorical_accuracy: 0.9507 - 660ms/epoch - 5ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.1091 - categorical_accuracy: 0.9655 - val_loss: 0.1877 - val_categorical_accuracy: 0.9412 - 640ms/epoch - 5ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0760 - categorical_accuracy: 0.9739 - val_loss: 0.1804 - val_categorical_accuracy: 0.9454 - 620ms/epoch - 4ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9744 - val_loss: 0.1664 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0955 - categorical_accuracy: 0.9690 - val_loss: 0.1595 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9736 - val_loss: 0.1745 - val_categorical_accuracy: 0.9492 - 630ms/epoch - 4ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0708 - categorical_accuracy: 0.9757 - val_loss: 0.1839 - val_categorical_accuracy: 0.9488 - 620ms/epoch - 4ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9722 - val_loss: 0.1655 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0728 - categorical_accuracy: 0.9748 - val_loss: 0.1598 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.1599 - categorical_accuracy: 0.9541 - val_loss: 0.1851 - val_categorical_accuracy: 0.9418 - 620ms/epoch - 4ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9738 - val_loss: 0.1593 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9753 - val_loss: 0.1580 - val_categorical_accuracy: 0.9520 - 620ms/epoch - 4ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9751 - val_loss: 0.1652 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0732 - categorical_accuracy: 0.9752 - val_loss: 0.1661 - val_categorical_accuracy: 0.9508 - 620ms/epoch - 4ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0822 - categorical_accuracy: 0.9723 - val_loss: 0.1860 - val_categorical_accuracy: 0.9457 - 630ms/epoch - 4ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9760 - val_loss: 0.2762 - val_categorical_accuracy: 0.9208 - 620ms/epoch - 4ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0937 - categorical_accuracy: 0.9700 - val_loss: 0.1555 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9717 - val_loss: 0.1696 - val_categorical_accuracy: 0.9461 - 620ms/epoch - 4ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9754 - val_loss: 0.1689 - val_categorical_accuracy: 0.9534 - 620ms/epoch - 4ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0841 - categorical_accuracy: 0.9711 - val_loss: 0.1558 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9761 - val_loss: 0.1616 - val_categorical_accuracy: 0.9545 - 630ms/epoch - 4ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.1559 - categorical_accuracy: 0.9557 - val_loss: 0.1631 - val_categorical_accuracy: 0.9510 - 620ms/epoch - 4ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9758 - val_loss: 0.1760 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9763 - val_loss: 0.1570 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0906 - categorical_accuracy: 0.9705 - val_loss: 0.1630 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0679 - categorical_accuracy: 0.9771 - val_loss: 0.1650 - val_categorical_accuracy: 0.9532 - 620ms/epoch - 4ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9766 - val_loss: 0.1759 - val_categorical_accuracy: 0.9504 - 620ms/epoch - 4ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0678 - categorical_accuracy: 0.9766 - val_loss: 0.1744 - val_categorical_accuracy: 0.9496 - 620ms/epoch - 4ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9712 - val_loss: 0.2308 - val_categorical_accuracy: 0.9298 - 620ms/epoch - 4ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9755 - val_loss: 0.1862 - val_categorical_accuracy: 0.9490 - 620ms/epoch - 4ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0669 - categorical_accuracy: 0.9768 - val_loss: 0.1615 - val_categorical_accuracy: 0.9535 - 630ms/epoch - 4ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9772 - val_loss: 0.1700 - val_categorical_accuracy: 0.9517 - 620ms/epoch - 4ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.1354 - categorical_accuracy: 0.9606 - val_loss: 0.1582 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9767 - val_loss: 0.1689 - val_categorical_accuracy: 0.9526 - 620ms/epoch - 4ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0677 - categorical_accuracy: 0.9767 - val_loss: 0.1593 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9770 - val_loss: 0.1629 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9762 - val_loss: 0.1840 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0656 - categorical_accuracy: 0.9773 - val_loss: 0.1614 - val_categorical_accuracy: 0.9560 - 620ms/epoch - 4ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9769 - val_loss: 0.2076 - val_categorical_accuracy: 0.9376 - 620ms/epoch - 4ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0782 - categorical_accuracy: 0.9732 - val_loss: 0.1673 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.1417 - categorical_accuracy: 0.9600 - val_loss: 0.1714 - val_categorical_accuracy: 0.9476 - 630ms/epoch - 4ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9771 - val_loss: 0.1610 - val_categorical_accuracy: 0.9555 - 620ms/epoch - 4ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9774 - val_loss: 0.1701 - val_categorical_accuracy: 0.9497 - 620ms/epoch - 4ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0652 - categorical_accuracy: 0.9777 - val_loss: 0.1941 - val_categorical_accuracy: 0.9408 - 630ms/epoch - 4ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9768 - val_loss: 0.1972 - val_categorical_accuracy: 0.9452 - 640ms/epoch - 5ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9770 - val_loss: 0.2507 - val_categorical_accuracy: 0.9318 - 630ms/epoch - 4ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0911 - categorical_accuracy: 0.9710 - val_loss: 0.1625 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9779 - val_loss: 0.1702 - val_categorical_accuracy: 0.9505 - 630ms/epoch - 4ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9781 - val_loss: 0.1851 - val_categorical_accuracy: 0.9509 - 630ms/epoch - 4ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9773 - val_loss: 0.1728 - val_categorical_accuracy: 0.9499 - 620ms/epoch - 4ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9779 - val_loss: 0.1767 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.1024 - categorical_accuracy: 0.9686 - val_loss: 0.1548 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9783 - val_loss: 0.1843 - val_categorical_accuracy: 0.9494 - 630ms/epoch - 4ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0679 - categorical_accuracy: 0.9766 - val_loss: 0.1684 - val_categorical_accuracy: 0.9525 - 620ms/epoch - 4ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0909 - categorical_accuracy: 0.9715 - val_loss: 0.1595 - val_categorical_accuracy: 0.9545 - 630ms/epoch - 4ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9786 - val_loss: 0.1768 - val_categorical_accuracy: 0.9482 - 630ms/epoch - 4ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9778 - val_loss: 0.1722 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9775 - val_loss: 0.1786 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0758 - categorical_accuracy: 0.9738 - val_loss: 0.1725 - val_categorical_accuracy: 0.9530 - 620ms/epoch - 4ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9789 - val_loss: 0.1686 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9782 - val_loss: 0.1876 - val_categorical_accuracy: 0.9473 - 630ms/epoch - 4ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9782 - val_loss: 0.2040 - val_categorical_accuracy: 0.9478 - 620ms/epoch - 4ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0880 - categorical_accuracy: 0.9721 - val_loss: 0.2170 - val_categorical_accuracy: 0.9434 - 620ms/epoch - 4ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9779 - val_loss: 0.1705 - val_categorical_accuracy: 0.9544 - 620ms/epoch - 4ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9787 - val_loss: 0.1686 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9775 - val_loss: 0.1613 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9788 - val_loss: 0.1883 - val_categorical_accuracy: 0.9496 - 630ms/epoch - 4ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.1010 - categorical_accuracy: 0.9677 - val_loss: 0.1603 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9785 - val_loss: 0.1730 - val_categorical_accuracy: 0.9505 - 620ms/epoch - 4ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9784 - val_loss: 0.1867 - val_categorical_accuracy: 0.9491 - 630ms/epoch - 4ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0910 - categorical_accuracy: 0.9716 - val_loss: 0.1702 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0596 - categorical_accuracy: 0.9794 - val_loss: 0.1682 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9773 - val_loss: 0.2460 - val_categorical_accuracy: 0.9315 - 620ms/epoch - 4ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.1129 - categorical_accuracy: 0.9668 - val_loss: 0.1639 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9786 - val_loss: 0.1612 - val_categorical_accuracy: 0.9538 - 620ms/epoch - 4ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9790 - val_loss: 0.1737 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9780 - val_loss: 0.1766 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9796 - val_loss: 0.1596 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9788 - val_loss: 0.1757 - val_categorical_accuracy: 0.9532 - 620ms/epoch - 4ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9792 - val_loss: 0.2753 - val_categorical_accuracy: 0.9238 - 630ms/epoch - 4ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.1578 - categorical_accuracy: 0.9551 - val_loss: 0.1544 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9792 - val_loss: 0.1579 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9797 - val_loss: 0.1630 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9796 - val_loss: 0.1915 - val_categorical_accuracy: 0.9459 - 620ms/epoch - 4ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9762 - val_loss: 0.1721 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0843 - categorical_accuracy: 0.9733 - val_loss: 0.1856 - val_categorical_accuracy: 0.9460 - 630ms/epoch - 4ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9791 - val_loss: 0.1737 - val_categorical_accuracy: 0.9537 - 620ms/epoch - 4ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9793 - val_loss: 0.1770 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9789 - val_loss: 0.1723 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0581 - categorical_accuracy: 0.9798 - val_loss: 0.1943 - val_categorical_accuracy: 0.9429 - 620ms/epoch - 4ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9790 - val_loss: 0.1927 - val_categorical_accuracy: 0.9503 - 620ms/epoch - 4ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0586 - categorical_accuracy: 0.9797 - val_loss: 0.1643 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9790 - val_loss: 0.1893 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.1101 - categorical_accuracy: 0.9679 - val_loss: 0.1628 - val_categorical_accuracy: 0.9526 - 630ms/epoch - 4ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9790 - val_loss: 0.1881 - val_categorical_accuracy: 0.9472 - 630ms/epoch - 4ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9795 - val_loss: 0.1661 - val_categorical_accuracy: 0.9567 - 640ms/epoch - 5ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9802 - val_loss: 0.1654 - val_categorical_accuracy: 0.9578 - 650ms/epoch - 5ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9800 - val_loss: 0.1803 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9792 - val_loss: 0.1763 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9799 - val_loss: 0.1748 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9804 - val_loss: 0.1919 - val_categorical_accuracy: 0.9526 - 630ms/epoch - 4ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9794 - val_loss: 0.1795 - val_categorical_accuracy: 0.9505 - 620ms/epoch - 4ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9789 - val_loss: 0.1773 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0579 - categorical_accuracy: 0.9800 - val_loss: 0.1970 - val_categorical_accuracy: 0.9515 - 620ms/epoch - 4ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.2664 - categorical_accuracy: 0.9243 - val_loss: 0.1737 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9780 - val_loss: 0.1799 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9796 - val_loss: 0.1853 - val_categorical_accuracy: 0.9503 - 620ms/epoch - 4ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9795 - val_loss: 0.1733 - val_categorical_accuracy: 0.9554 - 620ms/epoch - 4ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9809 - val_loss: 0.1681 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0873 - categorical_accuracy: 0.9732 - val_loss: 0.1719 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9805 - val_loss: 0.1710 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0562 - categorical_accuracy: 0.9806 - val_loss: 0.1607 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9810 - val_loss: 0.1987 - val_categorical_accuracy: 0.9473 - 630ms/epoch - 4ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9796 - val_loss: 0.2177 - val_categorical_accuracy: 0.9485 - 630ms/epoch - 4ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.1061 - categorical_accuracy: 0.9695 - val_loss: 0.1941 - val_categorical_accuracy: 0.9399 - 630ms/epoch - 4ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9786 - val_loss: 0.1647 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9807 - val_loss: 0.1642 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9809 - val_loss: 0.1698 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9794 - val_loss: 0.1672 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9792 - val_loss: 0.1790 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9797 - val_loss: 0.1959 - val_categorical_accuracy: 0.9454 - 620ms/epoch - 4ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9806 - val_loss: 0.1731 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9802 - val_loss: 0.1804 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9807 - val_loss: 0.1750 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9803 - val_loss: 0.1775 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9812 - val_loss: 0.1893 - val_categorical_accuracy: 0.9508 - 630ms/epoch - 4ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9722 - val_loss: 0.1660 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9790 - val_loss: 1.3957 - val_categorical_accuracy: 0.7487 - 630ms/epoch - 4ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.1144 - categorical_accuracy: 0.9661 - val_loss: 0.1690 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0558 - categorical_accuracy: 0.9809 - val_loss: 0.1808 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9802 - val_loss: 0.1915 - val_categorical_accuracy: 0.9535 - 630ms/epoch - 4ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9813 - val_loss: 0.1648 - val_categorical_accuracy: 0.9553 - 650ms/epoch - 5ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9806 - val_loss: 0.1927 - val_categorical_accuracy: 0.9486 - 630ms/epoch - 4ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9806 - val_loss: 0.1812 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9817 - val_loss: 0.1721 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9812 - val_loss: 0.1722 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9807 - val_loss: 0.1948 - val_categorical_accuracy: 0.9499 - 630ms/epoch - 4ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9812 - val_loss: 0.1952 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9787 - val_loss: 0.1930 - val_categorical_accuracy: 0.9520 - 620ms/epoch - 4ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0974 - categorical_accuracy: 0.9713 - val_loss: 0.1717 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9808 - val_loss: 0.1903 - val_categorical_accuracy: 0.9504 - 630ms/epoch - 4ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9813 - val_loss: 0.2179 - val_categorical_accuracy: 0.9467 - 620ms/epoch - 4ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9809 - val_loss: 0.1762 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9811 - val_loss: 0.1831 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9796 - val_loss: 0.6699 - val_categorical_accuracy: 0.8475 - 630ms/epoch - 4ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.1081 - categorical_accuracy: 0.9689 - val_loss: 0.1632 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9813 - val_loss: 0.1799 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9819 - val_loss: 0.1792 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9815 - val_loss: 0.1814 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0601 - categorical_accuracy: 0.9797 - val_loss: 1.0767 - val_categorical_accuracy: 0.7833 - 630ms/epoch - 4ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.1370 - categorical_accuracy: 0.9617 - val_loss: 0.1831 - val_categorical_accuracy: 0.9556 - 629ms/epoch - 4ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9823 - val_loss: 0.1785 - val_categorical_accuracy: 0.9547 - 620ms/epoch - 4ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9811 - val_loss: 0.1777 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9820 - val_loss: 0.1772 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9818 - val_loss: 0.2185 - val_categorical_accuracy: 0.9445 - 630ms/epoch - 4ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9799 - val_loss: 0.1855 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.1834 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9813 - val_loss: 0.1924 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9810 - val_loss: 0.1713 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.1728 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9779 - val_loss: 0.1730 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9818 - val_loss: 0.1840 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9809 - val_loss: 0.1774 - val_categorical_accuracy: 0.9561 - 620ms/epoch - 4ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.2945 - categorical_accuracy: 0.9229 - val_loss: 1.0388 - val_categorical_accuracy: 0.6417 - 620ms/epoch - 4ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.3491 - categorical_accuracy: 0.8754 - val_loss: 0.2119 - val_categorical_accuracy: 0.9362 - 630ms/epoch - 4ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.1008 - categorical_accuracy: 0.9652 - val_loss: 0.1898 - val_categorical_accuracy: 0.9441 - 630ms/epoch - 4ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0720 - categorical_accuracy: 0.9749 - val_loss: 0.1755 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9773 - val_loss: 0.1733 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9785 - val_loss: 0.1923 - val_categorical_accuracy: 0.9514 - 620ms/epoch - 4ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9794 - val_loss: 0.1749 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9797 - val_loss: 0.1779 - val_categorical_accuracy: 0.9515 - 620ms/epoch - 4ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9759 - val_loss: 0.1741 - val_categorical_accuracy: 0.9556 - 620ms/epoch - 4ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9795 - val_loss: 0.1662 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9812 - val_loss: 0.1793 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9813 - val_loss: 0.1946 - val_categorical_accuracy: 0.9501 - 630ms/epoch - 4ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0598 - categorical_accuracy: 0.9788 - val_loss: 0.1937 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9815 - val_loss: 0.1710 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9811 - val_loss: 0.1746 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9814 - val_loss: 0.1792 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9816 - val_loss: 0.1979 - val_categorical_accuracy: 0.9511 - 630ms/epoch - 4ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9808 - val_loss: 0.1930 - val_categorical_accuracy: 0.9513 - 620ms/epoch - 4ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9810 - val_loss: 0.2384 - val_categorical_accuracy: 0.9380 - 630ms/epoch - 4ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0692 - categorical_accuracy: 0.9774 - val_loss: 0.1856 - val_categorical_accuracy: 0.9502 - 620ms/epoch - 4ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9812 - val_loss: 0.1884 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9821 - val_loss: 0.1880 - val_categorical_accuracy: 0.9503 - 630ms/epoch - 4ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9820 - val_loss: 0.1809 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9816 - val_loss: 0.1875 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9816 - val_loss: 0.1926 - val_categorical_accuracy: 0.9520 - 620ms/epoch - 4ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9813 - val_loss: 0.1762 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9820 - val_loss: 0.1791 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9809 - val_loss: 0.1740 - val_categorical_accuracy: 0.9589 - 650ms/epoch - 5ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0903 - categorical_accuracy: 0.9720 - val_loss: 0.1811 - val_categorical_accuracy: 0.9556 - 650ms/epoch - 5ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9798 - val_loss: 0.2425 - val_categorical_accuracy: 0.9387 - 650ms/epoch - 5ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0558 - categorical_accuracy: 0.9807 - val_loss: 0.1784 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1733 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9820 - val_loss: 0.2022 - val_categorical_accuracy: 0.9514 - 630ms/epoch - 4ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9818 - val_loss: 0.1808 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9824 - val_loss: 0.1723 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9823 - val_loss: 0.1791 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9812 - val_loss: 0.2092 - val_categorical_accuracy: 0.9447 - 630ms/epoch - 4ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9817 - val_loss: 0.1830 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9820 - val_loss: 0.1941 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9822 - val_loss: 0.1861 - val_categorical_accuracy: 0.9562 - 620ms/epoch - 4ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0882 - categorical_accuracy: 0.9735 - val_loss: 0.1849 - val_categorical_accuracy: 0.9486 - 630ms/epoch - 4ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0534 - categorical_accuracy: 0.9815 - val_loss: 0.1754 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9831 - val_loss: 0.1888 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9832 - val_loss: 0.1784 - val_categorical_accuracy: 0.9564 - 620ms/epoch - 4ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9824 - val_loss: 0.1752 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9828 - val_loss: 0.1868 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9826 - val_loss: 0.2068 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9819 - val_loss: 0.1863 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.1012 - categorical_accuracy: 0.9732 - val_loss: 0.3392 - val_categorical_accuracy: 0.8957 - 630ms/epoch - 4ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0669 - categorical_accuracy: 0.9768 - val_loss: 0.1782 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9829 - val_loss: 0.1761 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9825 - val_loss: 0.1859 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.2190 - val_categorical_accuracy: 0.9480 - 630ms/epoch - 4ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9820 - val_loss: 0.1914 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9817 - val_loss: 0.1782 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.1029 - categorical_accuracy: 0.9704 - val_loss: 0.1660 - val_categorical_accuracy: 0.9545 - 630ms/epoch - 4ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9821 - val_loss: 0.1764 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9835 - val_loss: 0.1907 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9825 - val_loss: 0.1765 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9831 - val_loss: 0.1842 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9832 - val_loss: 0.1924 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9828 - val_loss: 0.1737 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9828 - val_loss: 0.1899 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.1879 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9821 - val_loss: 0.1779 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9831 - val_loss: 0.2057 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0930 - categorical_accuracy: 0.9722 - val_loss: 0.1985 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1837 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9834 - val_loss: 0.1860 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9834 - val_loss: 0.1895 - val_categorical_accuracy: 0.9531 - 630ms/epoch - 4ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9826 - val_loss: 0.1837 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9827 - val_loss: 0.2462 - val_categorical_accuracy: 0.9479 - 630ms/epoch - 4ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9779 - val_loss: 0.1924 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.2503 - val_categorical_accuracy: 0.9397 - 620ms/epoch - 4ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9785 - val_loss: 0.1938 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9826 - val_loss: 0.1817 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9833 - val_loss: 0.1819 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9831 - val_loss: 0.1773 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.1842 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.1125 - categorical_accuracy: 0.9680 - val_loss: 0.1726 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9832 - val_loss: 0.1753 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9835 - val_loss: 0.1715 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9837 - val_loss: 0.2079 - val_categorical_accuracy: 0.9531 - 633ms/epoch - 4ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9816 - val_loss: 0.1896 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9838 - val_loss: 0.1844 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9830 - val_loss: 0.1844 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9830 - val_loss: 0.1894 - val_categorical_accuracy: 0.9545 - 630ms/epoch - 4ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9832 - val_loss: 0.1928 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9835 - val_loss: 0.1916 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9832 - val_loss: 0.2327 - val_categorical_accuracy: 0.9485 - 630ms/epoch - 4ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9822 - val_loss: 0.1874 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.1907 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9819 - val_loss: 0.1787 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9837 - val_loss: 0.1864 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9838 - val_loss: 0.1966 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9839 - val_loss: 0.2012 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.1282 - categorical_accuracy: 0.9652 - val_loss: 0.2175 - val_categorical_accuracy: 0.9472 - 630ms/epoch - 4ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9832 - val_loss: 0.1791 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9839 - val_loss: 0.2072 - val_categorical_accuracy: 0.9525 - 630ms/epoch - 4ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9832 - val_loss: 0.2014 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9812 - val_loss: 0.1917 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.1889 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9834 - val_loss: 0.1862 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.1046 - categorical_accuracy: 0.9728 - val_loss: 0.3648 - val_categorical_accuracy: 0.8801 - 620ms/epoch - 4ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0679 - categorical_accuracy: 0.9764 - val_loss: 0.1725 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.1802 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.2190 - val_categorical_accuracy: 0.9430 - 630ms/epoch - 4ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9811 - val_loss: 0.1820 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9842 - val_loss: 0.1818 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9840 - val_loss: 0.2175 - val_categorical_accuracy: 0.9485 - 630ms/epoch - 4ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9828 - val_loss: 0.2041 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.1791 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9832 - val_loss: 0.1910 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9840 - val_loss: 0.1956 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9796 - val_loss: 0.4558 - val_categorical_accuracy: 0.8709 - 630ms/epoch - 4ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9787 - val_loss: 0.1792 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9843 - val_loss: 0.1848 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9839 - val_loss: 0.1826 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9839 - val_loss: 0.2121 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9835 - val_loss: 0.2501 - val_categorical_accuracy: 0.9379 - 630ms/epoch - 4ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0963 - categorical_accuracy: 0.9720 - val_loss: 0.1788 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9842 - val_loss: 0.1788 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.1833 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1934 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.1801 - val_categorical_accuracy: 0.9600 - 650ms/epoch - 5ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9838 - val_loss: 0.5273 - val_categorical_accuracy: 0.8957 - 630ms/epoch - 4ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.1602 - categorical_accuracy: 0.9569 - val_loss: 0.1811 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9835 - val_loss: 0.1769 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9843 - val_loss: 0.1849 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9841 - val_loss: 0.1965 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.1761 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.2235 - val_categorical_accuracy: 0.9452 - 630ms/epoch - 4ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9827 - val_loss: 0.1879 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9840 - val_loss: 0.1794 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9843 - val_loss: 0.1744 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9836 - val_loss: 0.1929 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.1938 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9814 - val_loss: 0.1951 - val_categorical_accuracy: 0.9506 - 630ms/epoch - 4ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9836 - val_loss: 0.2039 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.1881 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.2270 - val_categorical_accuracy: 0.9463 - 630ms/epoch - 4ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9715 - val_loss: 0.1831 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9843 - val_loss: 0.1864 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1799 - val_categorical_accuracy: 0.9610 - 820ms/epoch - 6ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1886 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.2016 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.1995 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9845 - val_loss: 0.2194 - val_categorical_accuracy: 0.9499 - 630ms/epoch - 4ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.1954 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.1888 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1966 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1980 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.1861 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1924 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.1221 - categorical_accuracy: 0.9660 - val_loss: 0.1948 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9843 - val_loss: 0.2291 - val_categorical_accuracy: 0.9455 - 630ms/epoch - 4ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9796 - val_loss: 0.1762 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1843 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9850 - val_loss: 0.1942 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9847 - val_loss: 0.1820 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1915 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9846 - val_loss: 0.1876 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1848 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1969 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0691 - categorical_accuracy: 0.9780 - val_loss: 0.1965 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.1890 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.1808 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9853 - val_loss: 0.2248 - val_categorical_accuracy: 0.9524 - 630ms/epoch - 4ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1961 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9845 - val_loss: 0.1918 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9846 - val_loss: 0.1916 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.2035 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9844 - val_loss: 0.2122 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0860 - categorical_accuracy: 0.9745 - val_loss: 0.1909 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9849 - val_loss: 0.1970 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1954 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9836 - val_loss: 0.1937 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9845 - val_loss: 0.1844 - val_categorical_accuracy: 0.9594 - 633ms/epoch - 4ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.2162 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.2040 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.1073 - categorical_accuracy: 0.9695 - val_loss: 0.1904 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9845 - val_loss: 0.1859 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9851 - val_loss: 0.2442 - val_categorical_accuracy: 0.9501 - 630ms/epoch - 4ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9850 - val_loss: 0.1826 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.2009 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.2233 - val_categorical_accuracy: 0.9466 - 630ms/epoch - 4ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9759 - val_loss: 0.1828 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1879 - val_categorical_accuracy: 0.9564 - 640ms/epoch - 5ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1881 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1818 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.1928 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.2096 - val_categorical_accuracy: 0.9499 - 630ms/epoch - 4ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.1895 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.1969 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9848 - val_loss: 0.2133 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.2186 - val_categorical_accuracy: 0.9510 - 620ms/epoch - 4ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9840 - val_loss: 0.2221 - val_categorical_accuracy: 0.9508 - 630ms/epoch - 4ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.1855 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9851 - val_loss: 0.2116 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.2043 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9843 - val_loss: 0.2220 - val_categorical_accuracy: 0.9531 - 630ms/epoch - 4ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9844 - val_loss: 0.1998 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.2311 - val_categorical_accuracy: 0.9486 - 630ms/epoch - 4ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9843 - val_loss: 0.2072 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.1005 - categorical_accuracy: 0.9751 - val_loss: 0.3809 - val_categorical_accuracy: 0.8778 - 630ms/epoch - 4ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9759 - val_loss: 0.1861 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9852 - val_loss: 0.1824 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9849 - val_loss: 0.1896 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.1931 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.2075 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.1926 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9840 - val_loss: 0.1868 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9852 - val_loss: 0.1949 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.1991 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9764 - val_loss: 0.2100 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.2065 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.1851 - val_categorical_accuracy: 0.9615 - 650ms/epoch - 5ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1966 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9845 - val_loss: 0.2090 - val_categorical_accuracy: 0.9555 - 650ms/epoch - 5ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2156 - val_categorical_accuracy: 0.9575 - 660ms/epoch - 5ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.1956 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1962 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1926 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1907 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.2033 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.1886 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1910 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.2165 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.2110 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.2178 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9850 - val_loss: 0.2067 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9729 - val_loss: 0.1853 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.1931 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.1926 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9853 - val_loss: 0.2192 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9852 - val_loss: 0.1915 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1890 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.2113 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9846 - val_loss: 0.2083 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.2063 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.2039 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9848 - val_loss: 0.1909 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.2016 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.1959 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.1998 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.2031 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9845 - val_loss: 0.2161 - val_categorical_accuracy: 0.9539 - 630ms/epoch - 4ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.2008 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1969 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.2458 - val_categorical_accuracy: 0.9475 - 630ms/epoch - 4ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1970 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.2234 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.2189 - val_categorical_accuracy: 0.9559 - 640ms/epoch - 5ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.2379 - val_categorical_accuracy: 0.9473 - 620ms/epoch - 4ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0910 - categorical_accuracy: 0.9743 - val_loss: 0.1888 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1839 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.2081 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1920 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9859 - val_loss: 0.1935 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.1895 - categorical_accuracy: 0.9490 - val_loss: 0.2008 - val_categorical_accuracy: 0.9413 - 630ms/epoch - 4ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9796 - val_loss: 0.2127 - val_categorical_accuracy: 0.9487 - 620ms/epoch - 4ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9846 - val_loss: 0.1803 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.1894 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1960 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.2145 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9846 - val_loss: 0.1856 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0876 - categorical_accuracy: 0.9749 - val_loss: 0.1934 - val_categorical_accuracy: 0.9531 - 630ms/epoch - 4ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9839 - val_loss: 0.1869 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.1891 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9859 - val_loss: 0.1916 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1989 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2001 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1988 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.3055 - val_categorical_accuracy: 0.9290 - 630ms/epoch - 4ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0854 - categorical_accuracy: 0.9749 - val_loss: 0.2128 - val_categorical_accuracy: 0.9499 - 630ms/epoch - 4ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1955 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1927 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.1959 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1883 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.2024 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9854 - val_loss: 0.2084 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.2068 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.2035 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2232 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2011 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.2104 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.2265 - val_categorical_accuracy: 0.9465 - 630ms/epoch - 4ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.3170 - categorical_accuracy: 0.9126 - val_loss: 0.1881 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9801 - val_loss: 0.1920 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9833 - val_loss: 0.2021 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1941 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9846 - val_loss: 0.1937 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.2071 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9847 - val_loss: 0.2389 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.1963 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.1975 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0774 - categorical_accuracy: 0.9768 - val_loss: 0.2025 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9857 - val_loss: 0.2064 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.1936 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.2079 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.2031 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.1969 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1912 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.2074 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.2029 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2210 - val_categorical_accuracy: 0.9505 - 620ms/epoch - 4ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9856 - val_loss: 0.2113 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0865 - categorical_accuracy: 0.9778 - val_loss: 0.4336 - val_categorical_accuracy: 0.8627 - 620ms/epoch - 4ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9776 - val_loss: 0.1842 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9861 - val_loss: 0.1916 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.1939 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9861 - val_loss: 0.2016 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1971 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.2722 - val_categorical_accuracy: 0.9428 - 650ms/epoch - 5ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.2031 - val_categorical_accuracy: 0.9568 - 650ms/epoch - 5ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.2064 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1941 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2141 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1967 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9859 - val_loss: 0.1975 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9843 - val_loss: 0.1983 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.2091 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9848 - val_loss: 0.2031 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.2073 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.2147 - val_categorical_accuracy: 0.9578 - 620ms/epoch - 4ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1992 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.2355 - val_categorical_accuracy: 0.9511 - 630ms/epoch - 4ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9855 - val_loss: 0.2267 - val_categorical_accuracy: 0.9523 - 620ms/epoch - 4ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.2268 - val_categorical_accuracy: 0.9539 - 630ms/epoch - 4ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9851 - val_loss: 1.2186 - val_categorical_accuracy: 0.8048 - 630ms/epoch - 4ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9775 - val_loss: 0.2062 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2245 - val_categorical_accuracy: 0.9540 - 620ms/epoch - 4ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2111 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2062 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9860 - val_loss: 0.2004 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2713 - val_categorical_accuracy: 0.9462 - 620ms/epoch - 4ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.1945 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.2095 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2104 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.2221 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.2022 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2237 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9863 - val_loss: 0.2263 - val_categorical_accuracy: 0.9523 - 620ms/epoch - 4ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2141 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.2011 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.2113 - val_categorical_accuracy: 0.9549 - 620ms/epoch - 4ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.2774 - categorical_accuracy: 0.9247 - val_loss: 0.1824 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9837 - val_loss: 0.1819 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9857 - val_loss: 0.1873 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9862 - val_loss: 0.1917 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1895 - val_categorical_accuracy: 0.9615 - 620ms/epoch - 4ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9863 - val_loss: 0.2069 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9863 - val_loss: 0.2196 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2096 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2093 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.2040 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9863 - val_loss: 0.1998 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2086 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2046 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2122 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.2094 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2090 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2178 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2267 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1997 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.2147 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2102 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2206 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2207 - val_categorical_accuracy: 0.9569 - 633ms/epoch - 4ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9856 - val_loss: 0.2112 - val_categorical_accuracy: 0.9566 - 620ms/epoch - 4ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9855 - val_loss: 0.2203 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9776 - val_loss: 0.2228 - val_categorical_accuracy: 0.9426 - 620ms/epoch - 4ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9834 - val_loss: 0.2177 - val_categorical_accuracy: 0.9500 - 630ms/epoch - 4ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.2093 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.2057 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2079 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.2163 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2107 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2103 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9856 - val_loss: 0.3981 - val_categorical_accuracy: 0.9288 - 620ms/epoch - 4ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.1150 - categorical_accuracy: 0.9680 - val_loss: 0.1913 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9859 - val_loss: 0.1950 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1979 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2080 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9870 - val_loss: 0.2110 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9867 - val_loss: 0.2226 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2194 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.1993 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2108 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2110 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2105 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9854 - val_loss: 0.2217 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.2194 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2072 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.2069 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2100 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2034 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.2201 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.2123 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.2485 - val_categorical_accuracy: 0.9528 - 620ms/epoch - 4ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.1486 - categorical_accuracy: 0.9605 - val_loss: 0.2035 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9862 - val_loss: 0.2051 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2103 - val_categorical_accuracy: 0.9543 - 620ms/epoch - 4ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2004 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9867 - val_loss: 0.2259 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0835 - categorical_accuracy: 0.9762 - val_loss: 0.1893 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9866 - val_loss: 0.1949 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2141 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2044 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2041 - val_categorical_accuracy: 0.9594 - 660ms/epoch - 5ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1963 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9870 - val_loss: 0.2233 - val_categorical_accuracy: 0.9556 - 640ms/epoch - 5ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.2071 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9771 - val_loss: 0.2021 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9864 - val_loss: 0.1946 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.1986 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2123 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.2104 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2113 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2272 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9867 - val_loss: 0.2191 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2121 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2157 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9866 - val_loss: 0.2065 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2062 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.2109 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2087 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.2200 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2062 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2154 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.2107 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.2240 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2185 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2091 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2252 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.1082 - categorical_accuracy: 0.9704 - val_loss: 0.2160 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.2191 - val_categorical_accuracy: 0.9558 - 620ms/epoch - 4ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2198 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2045 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9873 - val_loss: 0.2233 - val_categorical_accuracy: 0.9553 - 620ms/epoch - 4ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2319 - val_categorical_accuracy: 0.9548 - 620ms/epoch - 4ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2093 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2084 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9873 - val_loss: 0.2194 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2195 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2283 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2069 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2292 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2344 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2138 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2220 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9865 - val_loss: 0.2167 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.2325 - val_categorical_accuracy: 0.9524 - 620ms/epoch - 4ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2190 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.1703 - categorical_accuracy: 0.9533 - val_loss: 0.2016 - val_categorical_accuracy: 0.9515 - 620ms/epoch - 4ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9838 - val_loss: 0.1894 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9865 - val_loss: 0.1961 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.1971 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9864 - val_loss: 0.2054 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9860 - val_loss: 0.2180 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2088 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2151 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.2122 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2076 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2268 - val_categorical_accuracy: 0.9547 - 624ms/epoch - 4ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2179 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9866 - val_loss: 0.2294 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2105 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2183 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2179 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2194 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2332 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9853 - val_loss: 0.2267 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2142 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2167 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9867 - val_loss: 0.2504 - val_categorical_accuracy: 0.9533 - 620ms/epoch - 4ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.2328 - categorical_accuracy: 0.9385 - val_loss: 0.1920 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9850 - val_loss: 0.2164 - val_categorical_accuracy: 0.9545 - 620ms/epoch - 4ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1977 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.2178 - val_categorical_accuracy: 0.9531 - 620ms/epoch - 4ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.2283 - val_categorical_accuracy: 0.9539 - 620ms/epoch - 4ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.2040 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2057 - val_categorical_accuracy: 0.9627 - 620ms/epoch - 4ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9745 - val_loss: 0.1845 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9866 - val_loss: 0.2046 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9872 - val_loss: 0.1973 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.2056 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2144 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2190 - val_categorical_accuracy: 0.9584 - 620ms/epoch - 4ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2027 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2065 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2155 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2425 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9866 - val_loss: 0.2140 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2157 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9787 - val_loss: 0.1926 - val_categorical_accuracy: 0.9574 - 620ms/epoch - 4ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.2003 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2179 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9870 - val_loss: 0.2180 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2054 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2262 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2143 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2309 - val_categorical_accuracy: 0.9522 - 620ms/epoch - 4ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9786 - val_loss: 0.1927 - val_categorical_accuracy: 0.9613 - 620ms/epoch - 4ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2118 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2146 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2118 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2059 - val_categorical_accuracy: 0.9597 - 650ms/epoch - 5ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2203 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2076 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2151 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2305 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2106 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.1192 - categorical_accuracy: 0.9671 - val_loss: 0.2062 - val_categorical_accuracy: 0.9567 - 620ms/epoch - 4ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.2104 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2074 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2590 - val_categorical_accuracy: 0.9478 - 620ms/epoch - 4ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2089 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9879 - val_loss: 0.2286 - val_categorical_accuracy: 0.9542 - 620ms/epoch - 4ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2174 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2199 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2082 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2142 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2117 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2185 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2380 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.2255 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2253 - val_categorical_accuracy: 0.9570 - 620ms/epoch - 4ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2223 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.2227 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2176 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.2151 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2213 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2193 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2224 - val_categorical_accuracy: 0.9614 - 620ms/epoch - 4ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2251 - val_categorical_accuracy: 0.9568 - 620ms/epoch - 4ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2378 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2327 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2230 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2212 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2364 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2173 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2119 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2335 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2131 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2315 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2219 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2229 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2213 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.2177 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2323 - val_categorical_accuracy: 0.9583 - 620ms/epoch - 4ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2177 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9868 - val_loss: 0.2349 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.1611 - categorical_accuracy: 0.9600 - val_loss: 0.3303 - val_categorical_accuracy: 0.8899 - 630ms/epoch - 4ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0850 - categorical_accuracy: 0.9705 - val_loss: 0.2082 - val_categorical_accuracy: 0.9581 - 620ms/epoch - 4ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9861 - val_loss: 0.2072 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2098 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2118 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2145 - val_categorical_accuracy: 0.9599 - 650ms/epoch - 5ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2256 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2214 - val_categorical_accuracy: 0.9611 - 623ms/epoch - 4ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2175 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9868 - val_loss: 0.2109 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2538 - val_categorical_accuracy: 0.9497 - 630ms/epoch - 4ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.2843 - categorical_accuracy: 0.9205 - val_loss: 0.1881 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9830 - val_loss: 0.1904 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9864 - val_loss: 0.1962 - val_categorical_accuracy: 0.9576 - 620ms/epoch - 4ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9870 - val_loss: 0.1963 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2028 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2032 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.2241 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2196 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2186 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0831 - categorical_accuracy: 0.9762 - val_loss: 0.1952 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2199 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2680 - val_categorical_accuracy: 0.9468 - 620ms/epoch - 4ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2010 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.2145 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2048 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2213 - val_categorical_accuracy: 0.9573 - 620ms/epoch - 4ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2035 - val_categorical_accuracy: 0.9589 - 820ms/epoch - 6ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2567 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9824 - val_loss: 0.2342 - val_categorical_accuracy: 0.9530 - 630ms/epoch - 4ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2008 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2129 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2234 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2078 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2132 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2109 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2352 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2101 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2142 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2254 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2260 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2282 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2313 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2502 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2115 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2273 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2190 - val_categorical_accuracy: 0.9595 - 650ms/epoch - 5ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2285 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2203 - val_categorical_accuracy: 0.9606 - 670ms/epoch - 5ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9848 - val_loss: 1.4000 - val_categorical_accuracy: 0.7671 - 650ms/epoch - 5ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9769 - val_loss: 0.2041 - val_categorical_accuracy: 0.9597 - 650ms/epoch - 5ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2201 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2104 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2079 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2141 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2240 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2428 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2429 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2249 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2236 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2425 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2426 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.2182 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.2220 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2187 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2242 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9867 - val_loss: 0.2195 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2237 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2334 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2387 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2209 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2328 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2336 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2472 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.2387 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9868 - val_loss: 0.2453 - val_categorical_accuracy: 0.9523 - 630ms/epoch - 4ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2352 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2463 - val_categorical_accuracy: 0.9513 - 630ms/epoch - 4ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.2360 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0818 - categorical_accuracy: 0.9775 - val_loss: 0.1969 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2113 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2124 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2166 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2239 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2254 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2639 - val_categorical_accuracy: 0.9530 - 630ms/epoch - 4ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2384 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2210 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2207 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2238 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2307 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2259 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2319 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2464 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2282 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2252 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2268 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2231 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2380 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2261 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2281 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.1123 - categorical_accuracy: 0.9697 - val_loss: 0.2075 - val_categorical_accuracy: 0.9545 - 630ms/epoch - 4ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2163 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2173 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2228 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2427 - val_categorical_accuracy: 0.9525 - 630ms/epoch - 4ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.1626 - categorical_accuracy: 0.9558 - val_loss: 0.2013 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.1993 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2125 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2171 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2203 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2168 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2172 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2137 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2148 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9882 - val_loss: 0.2297 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2155 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2298 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2435 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.3419 - val_categorical_accuracy: 0.9323 - 630ms/epoch - 4ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0717 - categorical_accuracy: 0.9791 - val_loss: 0.2012 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2348 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2103 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2154 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2290 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2265 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.2199 - val_categorical_accuracy: 0.9572 - 620ms/epoch - 4ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2348 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2221 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2232 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2311 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.2208 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2292 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2177 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2391 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2408 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2367 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2363 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2218 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2282 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2653 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2573 - val_categorical_accuracy: 0.9560 - 640ms/epoch - 5ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2193 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2946 - val_categorical_accuracy: 0.9409 - 650ms/epoch - 5ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0891 - categorical_accuracy: 0.9753 - val_loss: 0.2130 - val_categorical_accuracy: 0.9579 - 660ms/epoch - 5ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.2363 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2197 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2211 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.2378 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2236 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2212 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2199 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2331 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2347 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2563 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2510 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2253 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2301 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.3060 - val_categorical_accuracy: 0.9490 - 630ms/epoch - 4ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0785 - categorical_accuracy: 0.9780 - val_loss: 0.2181 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2224 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2170 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0862 - categorical_accuracy: 0.9756 - val_loss: 0.2088 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2032 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2162 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2179 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2255 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2293 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2294 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2253 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.2277 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2465 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2296 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2228 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2164 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2165 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2224 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2308 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2369 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2251 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2455 - val_categorical_accuracy: 0.9561 - 650ms/epoch - 5ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2323 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2330 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2324 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2530 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2354 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2376 - val_categorical_accuracy: 0.9571 - 620ms/epoch - 4ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2267 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2354 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2364 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9804 - val_loss: 0.2043 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9865 - val_loss: 0.2394 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2236 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9880 - val_loss: 0.2231 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2339 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2402 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2348 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2335 - val_categorical_accuracy: 0.9616 - 624ms/epoch - 4ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2598 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.2311 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2762 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.3674 - val_categorical_accuracy: 0.9281 - 630ms/epoch - 4ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.2049 - categorical_accuracy: 0.9452 - val_loss: 0.2014 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2246 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.2131 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2091 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2211 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2287 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2122 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2184 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2149 - val_categorical_accuracy: 0.9620 - 620ms/epoch - 4ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2562 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9883 - val_loss: 0.2250 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2222 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2265 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2235 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2155 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2207 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2431 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2464 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2462 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2414 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2365 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2386 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9805 - val_loss: 0.2704 - val_categorical_accuracy: 0.9331 - 630ms/epoch - 4ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9829 - val_loss: 0.2188 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2216 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9886 - val_loss: 0.2225 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2405 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2236 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2246 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2398 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2378 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2459 - val_categorical_accuracy: 0.9526 - 630ms/epoch - 4ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2445 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2303 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2376 - val_categorical_accuracy: 0.9582 - 650ms/epoch - 5ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2362 - val_categorical_accuracy: 0.9563 - 620ms/epoch - 4ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2427 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2370 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.3749 - val_categorical_accuracy: 0.9290 - 640ms/epoch - 5ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9746 - val_loss: 0.2111 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2227 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2165 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2371 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2479 - val_categorical_accuracy: 0.9564 - 640ms/epoch - 5ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2284 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2297 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9886 - val_loss: 0.2365 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2312 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2331 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2368 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2396 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2306 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2409 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2493 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9878 - val_loss: 0.2407 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2337 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2306 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0992 - categorical_accuracy: 0.9737 - val_loss: 0.2076 - val_categorical_accuracy: 0.9535 - 630ms/epoch - 4ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2124 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2149 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2257 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2273 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2156 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2179 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2297 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2191 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2742 - val_categorical_accuracy: 0.9462 - 630ms/epoch - 4ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9789 - val_loss: 0.2186 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9886 - val_loss: 0.2255 - val_categorical_accuracy: 0.9605 - 620ms/epoch - 4ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2293 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2215 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2282 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2352 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2243 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2311 - val_categorical_accuracy: 0.9587 - 620ms/epoch - 4ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2192 - val_categorical_accuracy: 0.9622 - 620ms/epoch - 4ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2343 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2384 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2305 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2316 - val_categorical_accuracy: 0.9610 - 620ms/epoch - 4ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2393 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2349 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2366 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2318 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2326 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2661 - val_categorical_accuracy: 0.9486 - 630ms/epoch - 4ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9727 - val_loss: 0.2111 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2124 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2315 - val_categorical_accuracy: 0.9603 - 620ms/epoch - 4ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2283 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9886 - val_loss: 0.2426 - val_categorical_accuracy: 0.9514 - 630ms/epoch - 4ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.1115 - categorical_accuracy: 0.9696 - val_loss: 0.2108 - val_categorical_accuracy: 0.9580 - 627ms/epoch - 4ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9886 - val_loss: 0.2149 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2132 - val_categorical_accuracy: 0.9604 - 620ms/epoch - 4ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2348 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2277 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2301 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2363 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2309 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2478 - val_categorical_accuracy: 0.9559 - 620ms/epoch - 4ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2280 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2188 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2348 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2347 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2619 - val_categorical_accuracy: 0.9539 - 630ms/epoch - 4ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2338 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2258 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2334 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2409 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2393 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2291 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2304 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2431 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2357 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2339 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2352 - val_categorical_accuracy: 0.9609 - 620ms/epoch - 4ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2696 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2515 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2491 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2538 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9881 - val_loss: 0.2456 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2337 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2428 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2512 - val_categorical_accuracy: 0.9580 - 620ms/epoch - 4ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2419 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2420 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.1037 - categorical_accuracy: 0.9721 - val_loss: 0.2346 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2213 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2386 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2485 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2342 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9793 - val_loss: 0.2156 - val_categorical_accuracy: 0.9582 - 650ms/epoch - 5ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9878 - val_loss: 0.2196 - val_categorical_accuracy: 0.9615 - 650ms/epoch - 5ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2226 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2270 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9892 - val_loss: 0.2296 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2613 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2368 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.2244 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2292 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9891 - val_loss: 0.2337 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2417 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9854 - val_loss: 0.2163 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2345 - val_categorical_accuracy: 0.9599 - 620ms/epoch - 4ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2287 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2410 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2330 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2298 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2330 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2505 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2408 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2412 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2347 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2581 - val_categorical_accuracy: 0.9535 - 620ms/epoch - 4ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.1605 - categorical_accuracy: 0.9585 - val_loss: 0.2282 - val_categorical_accuracy: 0.9579 - 620ms/epoch - 4ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9880 - val_loss: 0.2217 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2236 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2247 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2263 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2318 - val_categorical_accuracy: 0.9618 - 620ms/epoch - 4ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2376 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9894 - val_loss: 0.2439 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2382 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2386 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2255 - val_categorical_accuracy: 0.9617 - 620ms/epoch - 4ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2593 - val_categorical_accuracy: 0.9529 - 620ms/epoch - 4ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2377 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2370 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2282 - val_categorical_accuracy: 0.9611 - 620ms/epoch - 4ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2455 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2490 - val_categorical_accuracy: 0.9592 - 620ms/epoch - 4ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2351 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.2693 - categorical_accuracy: 0.9280 - val_loss: 0.2160 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9847 - val_loss: 0.2195 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2232 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.2385 - val_categorical_accuracy: 0.9557 - 620ms/epoch - 4ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2287 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2343 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9889 - val_loss: 0.2343 - val_categorical_accuracy: 0.9600 - 620ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2345 - val_categorical_accuracy: 0.9608 - 620ms/epoch - 4ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2252 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2296 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2253 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9888 - val_loss: 0.2335 - val_categorical_accuracy: 0.9619 - 620ms/epoch - 4ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2359 - val_categorical_accuracy: 0.9575 - 620ms/epoch - 4ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9891 - val_loss: 0.2496 - val_categorical_accuracy: 0.9591 - 620ms/epoch - 4ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2298 - val_categorical_accuracy: 0.9593 - 633ms/epoch - 4ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2462 - val_categorical_accuracy: 0.9586 - 620ms/epoch - 4ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2459 - val_categorical_accuracy: 0.9582 - 620ms/epoch - 4ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2464 - val_categorical_accuracy: 0.9569 - 620ms/epoch - 4ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2340 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0875 - categorical_accuracy: 0.9760 - val_loss: 0.2236 - val_categorical_accuracy: 0.9565 - 620ms/epoch - 4ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2174 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9890 - val_loss: 0.2239 - val_categorical_accuracy: 0.9612 - 620ms/epoch - 4ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2256 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2547 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2305 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9891 - val_loss: 0.2490 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2365 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2559 - val_categorical_accuracy: 0.9552 - 620ms/epoch - 4ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2305 - val_categorical_accuracy: 0.9616 - 620ms/epoch - 4ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2368 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2359 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2537 - val_categorical_accuracy: 0.9588 - 620ms/epoch - 4ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2404 - val_categorical_accuracy: 0.9593 - 620ms/epoch - 4ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2449 - val_categorical_accuracy: 0.9589 - 620ms/epoch - 4ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2405 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2372 - val_categorical_accuracy: 0.9622 - 620ms/epoch - 4ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2362 - val_categorical_accuracy: 0.9577 - 620ms/epoch - 4ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2291 - val_categorical_accuracy: 0.9602 - 620ms/epoch - 4ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2421 - val_categorical_accuracy: 0.9590 - 620ms/epoch - 4ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2308 - val_categorical_accuracy: 0.9625 - 620ms/epoch - 4ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2393 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2376 - val_categorical_accuracy: 0.9606 - 620ms/epoch - 4ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2309 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0846 - categorical_accuracy: 0.9794 - val_loss: 0.2968 - val_categorical_accuracy: 0.9138 - 630ms/epoch - 4ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9809 - val_loss: 0.2185 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9889 - val_loss: 0.2272 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2362 - val_categorical_accuracy: 0.9575 - 820ms/epoch - 6ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2251 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2418 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2290 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2470 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9891 - val_loss: 0.2331 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2536 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.3155 - val_categorical_accuracy: 0.9408 - 650ms/epoch - 5ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0610 - categorical_accuracy: 0.9823 - val_loss: 0.2293 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2232 - val_categorical_accuracy: 0.9613 - 650ms/epoch - 5ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2315 - val_categorical_accuracy: 0.9582 - 660ms/epoch - 5ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2397 - val_categorical_accuracy: 0.9600 - 650ms/epoch - 5ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9892 - val_loss: 0.2352 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2337 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2443 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2400 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2494 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9891 - val_loss: 0.2540 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2384 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9893 - val_loss: 0.2657 - val_categorical_accuracy: 0.9560 - 640ms/epoch - 5ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2489 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2419 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2475 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2517 - val_categorical_accuracy: 0.9568 - 640ms/epoch - 5ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2578 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2380 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2483 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2484 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9790 - val_loss: 0.2304 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2385 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2336 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2447 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2392 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9891 - val_loss: 0.2478 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2358 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2357 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2506 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.1263 - categorical_accuracy: 0.9672 - val_loss: 0.2127 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2266 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2270 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2308 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2300 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2312 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2421 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2394 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2689 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.2413 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2345 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2423 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2390 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2429 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2525 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2434 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2391 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2562 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2492 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2532 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2453 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2552 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2575 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2509 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9894 - val_loss: 0.2502 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2676 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2482 - val_categorical_accuracy: 0.9568 - 634ms/epoch - 4ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2578 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2612 - val_categorical_accuracy: 0.9559 - 640ms/epoch - 5ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2516 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2445 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2511 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2382 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2556 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2551 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2506 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.2572 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.3194 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.2109 - categorical_accuracy: 0.9437 - val_loss: 0.2147 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2175 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2438 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2425 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9892 - val_loss: 0.2456 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2531 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2478 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2470 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2350 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2415 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2572 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2494 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2961 - val_categorical_accuracy: 0.9485 - 640ms/epoch - 5ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2403 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2361 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2436 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2634 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2724 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2458 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2545 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2663 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2494 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2671 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2413 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2707 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.6736 - val_categorical_accuracy: 0.9251 - 630ms/epoch - 4ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0848 - categorical_accuracy: 0.9772 - val_loss: 0.2303 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2343 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2441 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2678 - val_categorical_accuracy: 0.9553 - 660ms/epoch - 5ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2470 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2400 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2531 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2473 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2432 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2454 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2478 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2503 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9892 - val_loss: 0.2642 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2490 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2532 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2591 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2412 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2655 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2609 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2548 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2632 - val_categorical_accuracy: 0.9598 - 620ms/epoch - 4ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2595 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2722 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2649 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2726 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2697 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2548 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2604 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.1973 - categorical_accuracy: 0.9497 - val_loss: 0.2331 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2187 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2308 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.2369 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2373 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2413 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2345 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9893 - val_loss: 0.2442 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2413 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2408 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2625 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2485 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9893 - val_loss: 0.2460 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2554 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2563 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2439 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2510 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2572 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2703 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2533 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2749 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2901 - val_categorical_accuracy: 0.9511 - 620ms/epoch - 4ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.2661 - val_categorical_accuracy: 0.9546 - 620ms/epoch - 4ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2454 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2534 - val_categorical_accuracy: 0.9580 - 640ms/epoch - 5ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2651 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9834 - val_loss: 0.2456 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9833 - val_loss: 0.2352 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2620 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9895 - val_loss: 0.2387 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2445 - val_categorical_accuracy: 0.9603 - 631ms/epoch - 4ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2330 - val_categorical_accuracy: 0.9607 - 620ms/epoch - 4ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.2492 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2506 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9890 - val_loss: 0.2432 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
processing fold # 8 
Epoch 1/1500
141/141 - 1s - loss: 1.9040 - categorical_accuracy: 0.2855 - val_loss: 1.5979 - val_categorical_accuracy: 0.4149 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5599 - categorical_accuracy: 0.4210 - val_loss: 1.2462 - val_categorical_accuracy: 0.5324 - 630ms/epoch - 4ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.2675 - categorical_accuracy: 0.5251 - val_loss: 1.6112 - val_categorical_accuracy: 0.4637 - 660ms/epoch - 5ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1877 - categorical_accuracy: 0.5636 - val_loss: 1.0653 - val_categorical_accuracy: 0.6074 - 630ms/epoch - 4ms/step
Epoch 5/1500
141/141 - 1s - loss: 0.9906 - categorical_accuracy: 0.6322 - val_loss: 0.8814 - val_categorical_accuracy: 0.6722 - 630ms/epoch - 4ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9816 - categorical_accuracy: 0.6432 - val_loss: 1.6742 - val_categorical_accuracy: 0.5209 - 630ms/epoch - 4ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8593 - categorical_accuracy: 0.6873 - val_loss: 0.7056 - val_categorical_accuracy: 0.7304 - 630ms/epoch - 4ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.7442 - categorical_accuracy: 0.7229 - val_loss: 0.7084 - val_categorical_accuracy: 0.7326 - 650ms/epoch - 5ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.6947 - categorical_accuracy: 0.7407 - val_loss: 0.6404 - val_categorical_accuracy: 0.7607 - 630ms/epoch - 4ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.6553 - categorical_accuracy: 0.7558 - val_loss: 0.6048 - val_categorical_accuracy: 0.7689 - 630ms/epoch - 4ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6450 - categorical_accuracy: 0.7633 - val_loss: 0.5936 - val_categorical_accuracy: 0.7781 - 630ms/epoch - 4ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.5763 - categorical_accuracy: 0.7854 - val_loss: 0.6803 - val_categorical_accuracy: 0.7420 - 630ms/epoch - 4ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.5661 - categorical_accuracy: 0.7911 - val_loss: 0.5154 - val_categorical_accuracy: 0.8078 - 630ms/epoch - 4ms/step
Epoch 14/1500
141/141 - 1s - loss: 1.0700 - categorical_accuracy: 0.6359 - val_loss: 0.8962 - val_categorical_accuracy: 0.6733 - 630ms/epoch - 4ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.6065 - categorical_accuracy: 0.7758 - val_loss: 0.5938 - val_categorical_accuracy: 0.7774 - 630ms/epoch - 4ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5166 - categorical_accuracy: 0.8061 - val_loss: 0.6306 - val_categorical_accuracy: 0.7696 - 630ms/epoch - 4ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5394 - categorical_accuracy: 0.8054 - val_loss: 0.4520 - val_categorical_accuracy: 0.8353 - 630ms/epoch - 4ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4533 - categorical_accuracy: 0.8318 - val_loss: 0.4688 - val_categorical_accuracy: 0.8223 - 630ms/epoch - 4ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4532 - categorical_accuracy: 0.8338 - val_loss: 0.4383 - val_categorical_accuracy: 0.8349 - 630ms/epoch - 4ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4235 - categorical_accuracy: 0.8432 - val_loss: 0.3883 - val_categorical_accuracy: 0.8609 - 630ms/epoch - 4ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4014 - categorical_accuracy: 0.8522 - val_loss: 0.4444 - val_categorical_accuracy: 0.8330 - 630ms/epoch - 4ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.4133 - categorical_accuracy: 0.8500 - val_loss: 0.4943 - val_categorical_accuracy: 0.8165 - 630ms/epoch - 4ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.3874 - categorical_accuracy: 0.8578 - val_loss: 0.3772 - val_categorical_accuracy: 0.8608 - 630ms/epoch - 4ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3748 - categorical_accuracy: 0.8645 - val_loss: 0.3336 - val_categorical_accuracy: 0.8809 - 640ms/epoch - 5ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3575 - categorical_accuracy: 0.8694 - val_loss: 0.3362 - val_categorical_accuracy: 0.8777 - 620ms/epoch - 4ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3547 - categorical_accuracy: 0.8722 - val_loss: 0.3226 - val_categorical_accuracy: 0.8871 - 630ms/epoch - 4ms/step
Epoch 27/1500
141/141 - 1s - loss: 1.9280 - categorical_accuracy: 0.3272 - val_loss: 1.3141 - val_categorical_accuracy: 0.5445 - 630ms/epoch - 4ms/step
Epoch 28/1500
141/141 - 1s - loss: 1.0370 - categorical_accuracy: 0.6252 - val_loss: 0.7957 - val_categorical_accuracy: 0.7053 - 630ms/epoch - 4ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.7127 - categorical_accuracy: 0.7390 - val_loss: 0.6664 - val_categorical_accuracy: 0.7455 - 640ms/epoch - 5ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.5869 - categorical_accuracy: 0.7846 - val_loss: 0.5392 - val_categorical_accuracy: 0.7972 - 630ms/epoch - 4ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.5207 - categorical_accuracy: 0.8085 - val_loss: 0.4759 - val_categorical_accuracy: 0.8283 - 620ms/epoch - 4ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.4759 - categorical_accuracy: 0.8270 - val_loss: 0.4631 - val_categorical_accuracy: 0.8277 - 630ms/epoch - 4ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.4537 - categorical_accuracy: 0.8367 - val_loss: 0.4299 - val_categorical_accuracy: 0.8442 - 650ms/epoch - 5ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.5312 - categorical_accuracy: 0.8188 - val_loss: 0.4481 - val_categorical_accuracy: 0.8349 - 650ms/epoch - 5ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.4037 - categorical_accuracy: 0.8551 - val_loss: 0.3754 - val_categorical_accuracy: 0.8642 - 650ms/epoch - 5ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.3950 - categorical_accuracy: 0.8583 - val_loss: 0.3875 - val_categorical_accuracy: 0.8629 - 640ms/epoch - 5ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3622 - categorical_accuracy: 0.8689 - val_loss: 0.3466 - val_categorical_accuracy: 0.8734 - 630ms/epoch - 4ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.3541 - categorical_accuracy: 0.8716 - val_loss: 0.3501 - val_categorical_accuracy: 0.8765 - 630ms/epoch - 4ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.3374 - categorical_accuracy: 0.8788 - val_loss: 0.3470 - val_categorical_accuracy: 0.8757 - 630ms/epoch - 4ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.3741 - categorical_accuracy: 0.8711 - val_loss: 0.3482 - val_categorical_accuracy: 0.8751 - 630ms/epoch - 4ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.3168 - categorical_accuracy: 0.8853 - val_loss: 0.3796 - val_categorical_accuracy: 0.8597 - 620ms/epoch - 4ms/step
Epoch 42/1500
141/141 - 1s - loss: 1.3656 - categorical_accuracy: 0.5558 - val_loss: 0.9259 - val_categorical_accuracy: 0.6536 - 620ms/epoch - 4ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.7192 - categorical_accuracy: 0.7305 - val_loss: 0.5663 - val_categorical_accuracy: 0.7851 - 630ms/epoch - 4ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.5005 - categorical_accuracy: 0.8164 - val_loss: 0.5972 - val_categorical_accuracy: 0.7827 - 630ms/epoch - 4ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.4311 - categorical_accuracy: 0.8436 - val_loss: 0.4128 - val_categorical_accuracy: 0.8502 - 630ms/epoch - 4ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.3782 - categorical_accuracy: 0.8634 - val_loss: 0.3715 - val_categorical_accuracy: 0.8659 - 630ms/epoch - 4ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.3549 - categorical_accuracy: 0.8717 - val_loss: 0.3962 - val_categorical_accuracy: 0.8557 - 630ms/epoch - 4ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.3357 - categorical_accuracy: 0.8800 - val_loss: 0.3302 - val_categorical_accuracy: 0.8798 - 630ms/epoch - 4ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.3223 - categorical_accuracy: 0.8843 - val_loss: 0.3462 - val_categorical_accuracy: 0.8746 - 630ms/epoch - 4ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.3070 - categorical_accuracy: 0.8902 - val_loss: 0.3021 - val_categorical_accuracy: 0.8898 - 630ms/epoch - 4ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.3009 - categorical_accuracy: 0.8922 - val_loss: 0.2992 - val_categorical_accuracy: 0.8914 - 800ms/epoch - 6ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.3234 - categorical_accuracy: 0.8886 - val_loss: 0.2839 - val_categorical_accuracy: 0.8980 - 640ms/epoch - 5ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2732 - categorical_accuracy: 0.9029 - val_loss: 0.2869 - val_categorical_accuracy: 0.8968 - 640ms/epoch - 5ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2671 - categorical_accuracy: 0.9049 - val_loss: 0.2684 - val_categorical_accuracy: 0.9038 - 640ms/epoch - 5ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2644 - categorical_accuracy: 0.9061 - val_loss: 0.2900 - val_categorical_accuracy: 0.8960 - 640ms/epoch - 5ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2910 - categorical_accuracy: 0.9008 - val_loss: 0.2840 - val_categorical_accuracy: 0.8984 - 640ms/epoch - 5ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2702 - categorical_accuracy: 0.9051 - val_loss: 0.2905 - val_categorical_accuracy: 0.8954 - 640ms/epoch - 5ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2399 - categorical_accuracy: 0.9144 - val_loss: 0.2584 - val_categorical_accuracy: 0.9110 - 640ms/epoch - 5ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.2482 - categorical_accuracy: 0.9119 - val_loss: 0.2633 - val_categorical_accuracy: 0.9061 - 640ms/epoch - 5ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.2362 - categorical_accuracy: 0.9172 - val_loss: 0.2459 - val_categorical_accuracy: 0.9118 - 640ms/epoch - 5ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.2240 - categorical_accuracy: 0.9202 - val_loss: 0.2370 - val_categorical_accuracy: 0.9164 - 630ms/epoch - 4ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.2555 - categorical_accuracy: 0.9126 - val_loss: 0.2585 - val_categorical_accuracy: 0.9079 - 640ms/epoch - 5ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.2216 - categorical_accuracy: 0.9217 - val_loss: 0.2895 - val_categorical_accuracy: 0.8971 - 640ms/epoch - 5ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.2202 - categorical_accuracy: 0.9222 - val_loss: 0.2409 - val_categorical_accuracy: 0.9145 - 640ms/epoch - 5ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.2163 - categorical_accuracy: 0.9229 - val_loss: 0.2725 - val_categorical_accuracy: 0.9032 - 640ms/epoch - 5ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.2072 - categorical_accuracy: 0.9267 - val_loss: 0.2732 - val_categorical_accuracy: 0.9054 - 640ms/epoch - 5ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.2077 - categorical_accuracy: 0.9270 - val_loss: 0.2335 - val_categorical_accuracy: 0.9183 - 630ms/epoch - 4ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.2037 - categorical_accuracy: 0.9280 - val_loss: 0.2714 - val_categorical_accuracy: 0.9058 - 640ms/epoch - 5ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.2445 - categorical_accuracy: 0.9188 - val_loss: 0.2140 - val_categorical_accuracy: 0.9270 - 640ms/epoch - 5ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1898 - categorical_accuracy: 0.9334 - val_loss: 0.2345 - val_categorical_accuracy: 0.9192 - 640ms/epoch - 5ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1876 - categorical_accuracy: 0.9343 - val_loss: 0.2392 - val_categorical_accuracy: 0.9144 - 630ms/epoch - 4ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1902 - categorical_accuracy: 0.9329 - val_loss: 0.2402 - val_categorical_accuracy: 0.9184 - 640ms/epoch - 5ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1825 - categorical_accuracy: 0.9364 - val_loss: 0.3297 - val_categorical_accuracy: 0.8830 - 650ms/epoch - 5ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1985 - categorical_accuracy: 0.9325 - val_loss: 0.2311 - val_categorical_accuracy: 0.9204 - 640ms/epoch - 5ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1860 - categorical_accuracy: 0.9347 - val_loss: 0.2392 - val_categorical_accuracy: 0.9145 - 640ms/epoch - 5ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1828 - categorical_accuracy: 0.9359 - val_loss: 0.2150 - val_categorical_accuracy: 0.9254 - 640ms/epoch - 5ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1740 - categorical_accuracy: 0.9393 - val_loss: 0.2127 - val_categorical_accuracy: 0.9262 - 630ms/epoch - 4ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1756 - categorical_accuracy: 0.9384 - val_loss: 0.1969 - val_categorical_accuracy: 0.9327 - 640ms/epoch - 5ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1685 - categorical_accuracy: 0.9407 - val_loss: 0.2043 - val_categorical_accuracy: 0.9311 - 640ms/epoch - 5ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1750 - categorical_accuracy: 0.9387 - val_loss: 0.2051 - val_categorical_accuracy: 0.9322 - 640ms/epoch - 5ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.4574 - categorical_accuracy: 0.8701 - val_loss: 0.2355 - val_categorical_accuracy: 0.9196 - 630ms/epoch - 4ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1712 - categorical_accuracy: 0.9404 - val_loss: 0.2190 - val_categorical_accuracy: 0.9271 - 640ms/epoch - 5ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1719 - categorical_accuracy: 0.9398 - val_loss: 0.2136 - val_categorical_accuracy: 0.9289 - 640ms/epoch - 5ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1541 - categorical_accuracy: 0.9464 - val_loss: 0.1940 - val_categorical_accuracy: 0.9356 - 640ms/epoch - 5ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1661 - categorical_accuracy: 0.9425 - val_loss: 0.2012 - val_categorical_accuracy: 0.9326 - 630ms/epoch - 4ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1635 - categorical_accuracy: 0.9432 - val_loss: 0.2122 - val_categorical_accuracy: 0.9279 - 630ms/epoch - 4ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1502 - categorical_accuracy: 0.9476 - val_loss: 0.2245 - val_categorical_accuracy: 0.9231 - 630ms/epoch - 4ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1966 - categorical_accuracy: 0.9362 - val_loss: 0.2081 - val_categorical_accuracy: 0.9293 - 645ms/epoch - 5ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1629 - categorical_accuracy: 0.9446 - val_loss: 0.1983 - val_categorical_accuracy: 0.9341 - 640ms/epoch - 5ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1645 - categorical_accuracy: 0.9437 - val_loss: 0.1807 - val_categorical_accuracy: 0.9418 - 640ms/epoch - 5ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1412 - categorical_accuracy: 0.9512 - val_loss: 0.1974 - val_categorical_accuracy: 0.9334 - 640ms/epoch - 5ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1493 - categorical_accuracy: 0.9476 - val_loss: 0.1945 - val_categorical_accuracy: 0.9363 - 640ms/epoch - 5ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1545 - categorical_accuracy: 0.9468 - val_loss: 0.1855 - val_categorical_accuracy: 0.9377 - 640ms/epoch - 5ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1418 - categorical_accuracy: 0.9505 - val_loss: 0.2191 - val_categorical_accuracy: 0.9285 - 640ms/epoch - 5ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1481 - categorical_accuracy: 0.9489 - val_loss: 0.1953 - val_categorical_accuracy: 0.9358 - 640ms/epoch - 5ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1475 - categorical_accuracy: 0.9492 - val_loss: 0.1939 - val_categorical_accuracy: 0.9359 - 640ms/epoch - 5ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1383 - categorical_accuracy: 0.9522 - val_loss: 0.1817 - val_categorical_accuracy: 0.9409 - 630ms/epoch - 4ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.2225 - categorical_accuracy: 0.9324 - val_loss: 0.1811 - val_categorical_accuracy: 0.9413 - 640ms/epoch - 5ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1361 - categorical_accuracy: 0.9528 - val_loss: 0.1717 - val_categorical_accuracy: 0.9440 - 640ms/epoch - 5ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1374 - categorical_accuracy: 0.9525 - val_loss: 0.2170 - val_categorical_accuracy: 0.9257 - 640ms/epoch - 5ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1281 - categorical_accuracy: 0.9554 - val_loss: 0.2028 - val_categorical_accuracy: 0.9315 - 630ms/epoch - 4ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1372 - categorical_accuracy: 0.9521 - val_loss: 0.1778 - val_categorical_accuracy: 0.9429 - 630ms/epoch - 4ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1325 - categorical_accuracy: 0.9540 - val_loss: 0.2049 - val_categorical_accuracy: 0.9316 - 640ms/epoch - 5ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1301 - categorical_accuracy: 0.9548 - val_loss: 0.1970 - val_categorical_accuracy: 0.9346 - 640ms/epoch - 5ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1279 - categorical_accuracy: 0.9554 - val_loss: 0.2156 - val_categorical_accuracy: 0.9257 - 640ms/epoch - 5ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1831 - categorical_accuracy: 0.9424 - val_loss: 0.1712 - val_categorical_accuracy: 0.9432 - 630ms/epoch - 4ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1210 - categorical_accuracy: 0.9584 - val_loss: 0.1778 - val_categorical_accuracy: 0.9417 - 640ms/epoch - 5ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1623 - categorical_accuracy: 0.9480 - val_loss: 0.1697 - val_categorical_accuracy: 0.9459 - 640ms/epoch - 5ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1280 - categorical_accuracy: 0.9564 - val_loss: 0.1997 - val_categorical_accuracy: 0.9342 - 630ms/epoch - 4ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1207 - categorical_accuracy: 0.9580 - val_loss: 0.1881 - val_categorical_accuracy: 0.9379 - 630ms/epoch - 4ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1260 - categorical_accuracy: 0.9564 - val_loss: 0.1817 - val_categorical_accuracy: 0.9410 - 630ms/epoch - 4ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1845 - categorical_accuracy: 0.9437 - val_loss: 0.1963 - val_categorical_accuracy: 0.9349 - 640ms/epoch - 5ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1171 - categorical_accuracy: 0.9602 - val_loss: 0.1912 - val_categorical_accuracy: 0.9385 - 630ms/epoch - 4ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1169 - categorical_accuracy: 0.9594 - val_loss: 0.1865 - val_categorical_accuracy: 0.9382 - 640ms/epoch - 5ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1340 - categorical_accuracy: 0.9546 - val_loss: 0.1685 - val_categorical_accuracy: 0.9446 - 640ms/epoch - 5ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1145 - categorical_accuracy: 0.9603 - val_loss: 0.2469 - val_categorical_accuracy: 0.9211 - 640ms/epoch - 5ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1223 - categorical_accuracy: 0.9579 - val_loss: 0.1771 - val_categorical_accuracy: 0.9451 - 640ms/epoch - 5ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1236 - categorical_accuracy: 0.9573 - val_loss: 0.1650 - val_categorical_accuracy: 0.9476 - 640ms/epoch - 5ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1528 - categorical_accuracy: 0.9522 - val_loss: 0.1645 - val_categorical_accuracy: 0.9478 - 630ms/epoch - 4ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1104 - categorical_accuracy: 0.9622 - val_loss: 0.2331 - val_categorical_accuracy: 0.9256 - 630ms/epoch - 4ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1147 - categorical_accuracy: 0.9604 - val_loss: 0.1637 - val_categorical_accuracy: 0.9479 - 630ms/epoch - 4ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1108 - categorical_accuracy: 0.9619 - val_loss: 0.2215 - val_categorical_accuracy: 0.9298 - 630ms/epoch - 4ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1204 - categorical_accuracy: 0.9586 - val_loss: 0.1999 - val_categorical_accuracy: 0.9396 - 640ms/epoch - 5ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1094 - categorical_accuracy: 0.9623 - val_loss: 0.1954 - val_categorical_accuracy: 0.9374 - 640ms/epoch - 5ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1932 - categorical_accuracy: 0.9416 - val_loss: 0.1641 - val_categorical_accuracy: 0.9480 - 630ms/epoch - 4ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.1102 - categorical_accuracy: 0.9625 - val_loss: 0.1969 - val_categorical_accuracy: 0.9344 - 640ms/epoch - 5ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1034 - categorical_accuracy: 0.9643 - val_loss: 0.1957 - val_categorical_accuracy: 0.9380 - 650ms/epoch - 5ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1397 - categorical_accuracy: 0.9547 - val_loss: 0.1835 - val_categorical_accuracy: 0.9412 - 670ms/epoch - 5ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.1210 - categorical_accuracy: 0.9596 - val_loss: 0.1728 - val_categorical_accuracy: 0.9456 - 650ms/epoch - 5ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1096 - categorical_accuracy: 0.9625 - val_loss: 0.1792 - val_categorical_accuracy: 0.9421 - 640ms/epoch - 5ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1035 - categorical_accuracy: 0.9641 - val_loss: 0.1875 - val_categorical_accuracy: 0.9359 - 640ms/epoch - 5ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.1529 - categorical_accuracy: 0.9526 - val_loss: 0.3606 - val_categorical_accuracy: 0.8783 - 630ms/epoch - 4ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1091 - categorical_accuracy: 0.9631 - val_loss: 0.1755 - val_categorical_accuracy: 0.9429 - 630ms/epoch - 4ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1015 - categorical_accuracy: 0.9651 - val_loss: 0.2252 - val_categorical_accuracy: 0.9298 - 640ms/epoch - 5ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.1040 - categorical_accuracy: 0.9643 - val_loss: 0.1884 - val_categorical_accuracy: 0.9388 - 640ms/epoch - 5ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1033 - categorical_accuracy: 0.9644 - val_loss: 0.1821 - val_categorical_accuracy: 0.9438 - 640ms/epoch - 5ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.1052 - categorical_accuracy: 0.9637 - val_loss: 0.1736 - val_categorical_accuracy: 0.9461 - 630ms/epoch - 4ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1326 - categorical_accuracy: 0.9579 - val_loss: 0.1724 - val_categorical_accuracy: 0.9448 - 640ms/epoch - 5ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9657 - val_loss: 0.1617 - val_categorical_accuracy: 0.9481 - 640ms/epoch - 5ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.1563 - categorical_accuracy: 0.9528 - val_loss: 0.1633 - val_categorical_accuracy: 0.9477 - 630ms/epoch - 4ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9679 - val_loss: 0.1619 - val_categorical_accuracy: 0.9509 - 630ms/epoch - 4ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9665 - val_loss: 0.1797 - val_categorical_accuracy: 0.9400 - 630ms/epoch - 4ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9659 - val_loss: 0.1944 - val_categorical_accuracy: 0.9400 - 640ms/epoch - 5ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0968 - categorical_accuracy: 0.9670 - val_loss: 0.1903 - val_categorical_accuracy: 0.9419 - 640ms/epoch - 5ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0996 - categorical_accuracy: 0.9660 - val_loss: 0.1754 - val_categorical_accuracy: 0.9466 - 630ms/epoch - 4ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1182 - categorical_accuracy: 0.9607 - val_loss: 0.1599 - val_categorical_accuracy: 0.9507 - 640ms/epoch - 5ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.1079 - categorical_accuracy: 0.9634 - val_loss: 0.1656 - val_categorical_accuracy: 0.9470 - 640ms/epoch - 5ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0910 - categorical_accuracy: 0.9689 - val_loss: 0.1676 - val_categorical_accuracy: 0.9460 - 640ms/epoch - 5ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0972 - categorical_accuracy: 0.9664 - val_loss: 0.1666 - val_categorical_accuracy: 0.9489 - 630ms/epoch - 4ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.1134 - categorical_accuracy: 0.9624 - val_loss: 0.1623 - val_categorical_accuracy: 0.9490 - 630ms/epoch - 4ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0899 - categorical_accuracy: 0.9692 - val_loss: 0.1869 - val_categorical_accuracy: 0.9424 - 630ms/epoch - 4ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0906 - categorical_accuracy: 0.9687 - val_loss: 0.1771 - val_categorical_accuracy: 0.9459 - 630ms/epoch - 4ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0987 - categorical_accuracy: 0.9658 - val_loss: 0.2089 - val_categorical_accuracy: 0.9375 - 630ms/epoch - 4ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.1005 - categorical_accuracy: 0.9653 - val_loss: 0.1596 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.1229 - categorical_accuracy: 0.9608 - val_loss: 0.1763 - val_categorical_accuracy: 0.9432 - 630ms/epoch - 4ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0894 - categorical_accuracy: 0.9695 - val_loss: 0.1640 - val_categorical_accuracy: 0.9507 - 640ms/epoch - 5ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9703 - val_loss: 0.1618 - val_categorical_accuracy: 0.9522 - 640ms/epoch - 5ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0987 - categorical_accuracy: 0.9662 - val_loss: 0.1606 - val_categorical_accuracy: 0.9511 - 630ms/epoch - 4ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0887 - categorical_accuracy: 0.9694 - val_loss: 0.2136 - val_categorical_accuracy: 0.9311 - 630ms/epoch - 4ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.1922 - categorical_accuracy: 0.9453 - val_loss: 0.1893 - val_categorical_accuracy: 0.9390 - 640ms/epoch - 5ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0849 - categorical_accuracy: 0.9711 - val_loss: 0.1732 - val_categorical_accuracy: 0.9446 - 640ms/epoch - 5ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0878 - categorical_accuracy: 0.9701 - val_loss: 0.2237 - val_categorical_accuracy: 0.9329 - 630ms/epoch - 4ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.1010 - categorical_accuracy: 0.9659 - val_loss: 0.1562 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.1028 - categorical_accuracy: 0.9658 - val_loss: 0.1587 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9713 - val_loss: 0.1657 - val_categorical_accuracy: 0.9501 - 630ms/epoch - 4ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.1082 - categorical_accuracy: 0.9640 - val_loss: 0.1555 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9727 - val_loss: 0.1644 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.0855 - categorical_accuracy: 0.9707 - val_loss: 0.1882 - val_categorical_accuracy: 0.9454 - 640ms/epoch - 5ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0845 - categorical_accuracy: 0.9710 - val_loss: 0.1561 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.1064 - categorical_accuracy: 0.9653 - val_loss: 0.3796 - val_categorical_accuracy: 0.8864 - 630ms/epoch - 4ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0912 - categorical_accuracy: 0.9689 - val_loss: 0.1723 - val_categorical_accuracy: 0.9492 - 630ms/epoch - 4ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0802 - categorical_accuracy: 0.9726 - val_loss: 0.1615 - val_categorical_accuracy: 0.9504 - 630ms/epoch - 4ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.1578 - categorical_accuracy: 0.9532 - val_loss: 0.1519 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0803 - categorical_accuracy: 0.9729 - val_loss: 0.1882 - val_categorical_accuracy: 0.9458 - 630ms/epoch - 4ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0890 - categorical_accuracy: 0.9696 - val_loss: 0.1557 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9728 - val_loss: 0.1804 - val_categorical_accuracy: 0.9429 - 630ms/epoch - 4ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.1014 - categorical_accuracy: 0.9661 - val_loss: 0.1551 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9728 - val_loss: 0.1522 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9727 - val_loss: 0.1774 - val_categorical_accuracy: 0.9443 - 630ms/epoch - 4ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9713 - val_loss: 0.2162 - val_categorical_accuracy: 0.9339 - 630ms/epoch - 4ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.1118 - categorical_accuracy: 0.9650 - val_loss: 0.1607 - val_categorical_accuracy: 0.9508 - 630ms/epoch - 4ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0814 - categorical_accuracy: 0.9719 - val_loss: 0.1675 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9728 - val_loss: 0.1709 - val_categorical_accuracy: 0.9516 - 642ms/epoch - 5ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9736 - val_loss: 0.1837 - val_categorical_accuracy: 0.9450 - 640ms/epoch - 5ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.0755 - categorical_accuracy: 0.9744 - val_loss: 0.1907 - val_categorical_accuracy: 0.9456 - 630ms/epoch - 4ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0824 - categorical_accuracy: 0.9717 - val_loss: 0.1742 - val_categorical_accuracy: 0.9471 - 630ms/epoch - 4ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.1109 - categorical_accuracy: 0.9631 - val_loss: 0.1755 - val_categorical_accuracy: 0.9482 - 630ms/epoch - 4ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9728 - val_loss: 0.1589 - val_categorical_accuracy: 0.9539 - 640ms/epoch - 5ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0843 - categorical_accuracy: 0.9712 - val_loss: 0.1662 - val_categorical_accuracy: 0.9509 - 630ms/epoch - 4ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0776 - categorical_accuracy: 0.9733 - val_loss: 0.1606 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9742 - val_loss: 0.1594 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.1262 - categorical_accuracy: 0.9612 - val_loss: 0.1613 - val_categorical_accuracy: 0.9518 - 640ms/epoch - 5ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9748 - val_loss: 0.2373 - val_categorical_accuracy: 0.9303 - 640ms/epoch - 5ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9735 - val_loss: 0.1816 - val_categorical_accuracy: 0.9494 - 630ms/epoch - 4ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.1959 - categorical_accuracy: 0.9444 - val_loss: 0.1670 - val_categorical_accuracy: 0.9486 - 630ms/epoch - 4ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0804 - categorical_accuracy: 0.9728 - val_loss: 0.1475 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9753 - val_loss: 0.1520 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9716 - val_loss: 0.1547 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0712 - categorical_accuracy: 0.9759 - val_loss: 0.1951 - val_categorical_accuracy: 0.9437 - 630ms/epoch - 4ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9734 - val_loss: 0.1689 - val_categorical_accuracy: 0.9509 - 630ms/epoch - 4ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9752 - val_loss: 0.1641 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9738 - val_loss: 0.1783 - val_categorical_accuracy: 0.9500 - 640ms/epoch - 5ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9723 - val_loss: 0.1722 - val_categorical_accuracy: 0.9486 - 630ms/epoch - 4ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0717 - categorical_accuracy: 0.9755 - val_loss: 0.1570 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0791 - categorical_accuracy: 0.9728 - val_loss: 0.1610 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.1258 - categorical_accuracy: 0.9610 - val_loss: 0.1878 - val_categorical_accuracy: 0.9404 - 630ms/epoch - 4ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9749 - val_loss: 0.1674 - val_categorical_accuracy: 0.9504 - 640ms/epoch - 5ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9757 - val_loss: 0.1649 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9760 - val_loss: 0.1631 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.1133 - categorical_accuracy: 0.9664 - val_loss: 0.1598 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9765 - val_loss: 0.1616 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.1170 - categorical_accuracy: 0.9647 - val_loss: 0.1601 - val_categorical_accuracy: 0.9526 - 630ms/epoch - 4ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9759 - val_loss: 0.1784 - val_categorical_accuracy: 0.9486 - 630ms/epoch - 4ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9764 - val_loss: 0.1899 - val_categorical_accuracy: 0.9397 - 630ms/epoch - 4ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0908 - categorical_accuracy: 0.9702 - val_loss: 0.1617 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0704 - categorical_accuracy: 0.9758 - val_loss: 0.1765 - val_categorical_accuracy: 0.9485 - 630ms/epoch - 4ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0707 - categorical_accuracy: 0.9757 - val_loss: 0.1560 - val_categorical_accuracy: 0.9568 - 640ms/epoch - 5ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9767 - val_loss: 0.1624 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0777 - categorical_accuracy: 0.9736 - val_loss: 0.1658 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0994 - categorical_accuracy: 0.9683 - val_loss: 0.1635 - val_categorical_accuracy: 0.9513 - 630ms/epoch - 4ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0678 - categorical_accuracy: 0.9768 - val_loss: 0.1757 - val_categorical_accuracy: 0.9526 - 640ms/epoch - 5ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9763 - val_loss: 0.1547 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9761 - val_loss: 0.1905 - val_categorical_accuracy: 0.9486 - 660ms/epoch - 5ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0827 - categorical_accuracy: 0.9719 - val_loss: 0.1653 - val_categorical_accuracy: 0.9530 - 650ms/epoch - 5ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9773 - val_loss: 0.1667 - val_categorical_accuracy: 0.9540 - 640ms/epoch - 5ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9763 - val_loss: 0.1939 - val_categorical_accuracy: 0.9439 - 640ms/epoch - 5ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.2710 - categorical_accuracy: 0.9308 - val_loss: 0.6211 - val_categorical_accuracy: 0.7716 - 640ms/epoch - 5ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.2249 - categorical_accuracy: 0.9201 - val_loss: 0.1954 - val_categorical_accuracy: 0.9384 - 640ms/epoch - 5ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0901 - categorical_accuracy: 0.9687 - val_loss: 0.1673 - val_categorical_accuracy: 0.9505 - 630ms/epoch - 4ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9745 - val_loss: 0.1754 - val_categorical_accuracy: 0.9488 - 630ms/epoch - 4ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0705 - categorical_accuracy: 0.9757 - val_loss: 0.1698 - val_categorical_accuracy: 0.9518 - 630ms/epoch - 4ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9760 - val_loss: 0.2182 - val_categorical_accuracy: 0.9332 - 630ms/epoch - 4ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0749 - categorical_accuracy: 0.9744 - val_loss: 0.1790 - val_categorical_accuracy: 0.9489 - 630ms/epoch - 4ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0695 - categorical_accuracy: 0.9764 - val_loss: 0.1766 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0678 - categorical_accuracy: 0.9766 - val_loss: 0.1760 - val_categorical_accuracy: 0.9499 - 630ms/epoch - 4ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0679 - categorical_accuracy: 0.9767 - val_loss: 0.2036 - val_categorical_accuracy: 0.9420 - 630ms/epoch - 4ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9760 - val_loss: 0.1632 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.0686 - categorical_accuracy: 0.9762 - val_loss: 0.2247 - val_categorical_accuracy: 0.9390 - 640ms/epoch - 5ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9760 - val_loss: 0.2075 - val_categorical_accuracy: 0.9460 - 630ms/epoch - 4ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0675 - categorical_accuracy: 0.9764 - val_loss: 0.1636 - val_categorical_accuracy: 0.9561 - 640ms/epoch - 5ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0702 - categorical_accuracy: 0.9760 - val_loss: 0.1719 - val_categorical_accuracy: 0.9530 - 630ms/epoch - 4ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9781 - val_loss: 0.1664 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0704 - categorical_accuracy: 0.9758 - val_loss: 0.1595 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.1154 - categorical_accuracy: 0.9660 - val_loss: 0.1568 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9775 - val_loss: 0.1913 - val_categorical_accuracy: 0.9470 - 630ms/epoch - 4ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9776 - val_loss: 0.1744 - val_categorical_accuracy: 0.9524 - 630ms/epoch - 4ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9721 - val_loss: 0.1612 - val_categorical_accuracy: 0.9540 - 640ms/epoch - 5ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9771 - val_loss: 0.1651 - val_categorical_accuracy: 0.9549 - 640ms/epoch - 5ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0688 - categorical_accuracy: 0.9763 - val_loss: 0.1645 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9775 - val_loss: 0.1681 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0693 - categorical_accuracy: 0.9762 - val_loss: 0.1553 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9791 - val_loss: 0.1683 - val_categorical_accuracy: 0.9539 - 630ms/epoch - 4ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9781 - val_loss: 0.1674 - val_categorical_accuracy: 0.9561 - 640ms/epoch - 5ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9719 - val_loss: 0.1674 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0646 - categorical_accuracy: 0.9778 - val_loss: 0.1745 - val_categorical_accuracy: 0.9517 - 640ms/epoch - 5ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0624 - categorical_accuracy: 0.9784 - val_loss: 0.1783 - val_categorical_accuracy: 0.9514 - 630ms/epoch - 4ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.1020 - categorical_accuracy: 0.9683 - val_loss: 0.1570 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9786 - val_loss: 0.1785 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0620 - categorical_accuracy: 0.9787 - val_loss: 0.1735 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0766 - categorical_accuracy: 0.9745 - val_loss: 0.1832 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9789 - val_loss: 0.1636 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9789 - val_loss: 0.1813 - val_categorical_accuracy: 0.9525 - 630ms/epoch - 4ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9784 - val_loss: 0.1777 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.1359 - categorical_accuracy: 0.9614 - val_loss: 0.1665 - val_categorical_accuracy: 0.9539 - 630ms/epoch - 4ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9782 - val_loss: 0.1682 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9796 - val_loss: 0.1723 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.1397 - categorical_accuracy: 0.9604 - val_loss: 0.1795 - val_categorical_accuracy: 0.9458 - 640ms/epoch - 5ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9785 - val_loss: 0.1588 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9797 - val_loss: 0.1912 - val_categorical_accuracy: 0.9473 - 630ms/epoch - 4ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9785 - val_loss: 0.1706 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9791 - val_loss: 0.1809 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9794 - val_loss: 0.1694 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9775 - val_loss: 0.4085 - val_categorical_accuracy: 0.8888 - 630ms/epoch - 4ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0679 - categorical_accuracy: 0.9767 - val_loss: 0.1857 - val_categorical_accuracy: 0.9521 - 630ms/epoch - 4ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0970 - categorical_accuracy: 0.9704 - val_loss: 0.1644 - val_categorical_accuracy: 0.9535 - 630ms/epoch - 4ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9797 - val_loss: 0.1850 - val_categorical_accuracy: 0.9493 - 630ms/epoch - 4ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9785 - val_loss: 0.1769 - val_categorical_accuracy: 0.9523 - 630ms/epoch - 4ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9793 - val_loss: 0.1656 - val_categorical_accuracy: 0.9558 - 635ms/epoch - 5ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9795 - val_loss: 0.1979 - val_categorical_accuracy: 0.9472 - 630ms/epoch - 4ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9798 - val_loss: 0.1700 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9774 - val_loss: 0.1794 - val_categorical_accuracy: 0.9535 - 630ms/epoch - 4ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0813 - categorical_accuracy: 0.9733 - val_loss: 0.1699 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9797 - val_loss: 0.1798 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0600 - categorical_accuracy: 0.9795 - val_loss: 0.1583 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0601 - categorical_accuracy: 0.9789 - val_loss: 0.1686 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9783 - val_loss: 0.1812 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9800 - val_loss: 0.1711 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9790 - val_loss: 0.2079 - val_categorical_accuracy: 0.9473 - 630ms/epoch - 4ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.1161 - categorical_accuracy: 0.9661 - val_loss: 0.1648 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9808 - val_loss: 0.1914 - val_categorical_accuracy: 0.9493 - 630ms/epoch - 4ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9790 - val_loss: 0.1635 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0604 - categorical_accuracy: 0.9791 - val_loss: 0.2177 - val_categorical_accuracy: 0.9446 - 640ms/epoch - 5ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9794 - val_loss: 0.1617 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9785 - val_loss: 0.1673 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0563 - categorical_accuracy: 0.9803 - val_loss: 0.2022 - val_categorical_accuracy: 0.9488 - 630ms/epoch - 4ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9793 - val_loss: 0.1745 - val_categorical_accuracy: 0.9539 - 630ms/epoch - 4ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9795 - val_loss: 0.1960 - val_categorical_accuracy: 0.9463 - 630ms/epoch - 4ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.1285 - categorical_accuracy: 0.9637 - val_loss: 0.1600 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0579 - categorical_accuracy: 0.9799 - val_loss: 0.1704 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9805 - val_loss: 0.1674 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9798 - val_loss: 0.1698 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9801 - val_loss: 0.1705 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9797 - val_loss: 0.1829 - val_categorical_accuracy: 0.9514 - 630ms/epoch - 4ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.1463 - categorical_accuracy: 0.9594 - val_loss: 0.1748 - val_categorical_accuracy: 0.9477 - 630ms/epoch - 4ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0654 - categorical_accuracy: 0.9779 - val_loss: 0.1642 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9804 - val_loss: 0.1663 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9799 - val_loss: 0.1863 - val_categorical_accuracy: 0.9511 - 640ms/epoch - 5ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9803 - val_loss: 0.1808 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9784 - val_loss: 0.5556 - val_categorical_accuracy: 0.8848 - 630ms/epoch - 4ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.2218 - categorical_accuracy: 0.9389 - val_loss: 0.1570 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0595 - categorical_accuracy: 0.9797 - val_loss: 0.1581 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0560 - categorical_accuracy: 0.9808 - val_loss: 0.1687 - val_categorical_accuracy: 0.9564 - 640ms/epoch - 5ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9812 - val_loss: 0.1911 - val_categorical_accuracy: 0.9479 - 630ms/epoch - 4ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9800 - val_loss: 0.1866 - val_categorical_accuracy: 0.9523 - 640ms/epoch - 5ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9804 - val_loss: 0.1672 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9814 - val_loss: 0.2094 - val_categorical_accuracy: 0.9464 - 640ms/epoch - 5ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0710 - categorical_accuracy: 0.9761 - val_loss: 0.1859 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9806 - val_loss: 0.1660 - val_categorical_accuracy: 0.9579 - 650ms/epoch - 5ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9815 - val_loss: 0.1748 - val_categorical_accuracy: 0.9570 - 660ms/epoch - 5ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0557 - categorical_accuracy: 0.9807 - val_loss: 0.1791 - val_categorical_accuracy: 0.9547 - 640ms/epoch - 5ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0785 - categorical_accuracy: 0.9745 - val_loss: 0.1624 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9811 - val_loss: 0.1674 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0868 - categorical_accuracy: 0.9729 - val_loss: 0.1623 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9814 - val_loss: 0.1751 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0568 - categorical_accuracy: 0.9804 - val_loss: 0.1767 - val_categorical_accuracy: 0.9518 - 630ms/epoch - 4ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9810 - val_loss: 0.1740 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0567 - categorical_accuracy: 0.9801 - val_loss: 0.1683 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9813 - val_loss: 0.1683 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9808 - val_loss: 0.1767 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9700 - val_loss: 0.1965 - val_categorical_accuracy: 0.9471 - 630ms/epoch - 4ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9807 - val_loss: 0.1652 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9817 - val_loss: 0.2159 - val_categorical_accuracy: 0.9432 - 630ms/epoch - 4ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9811 - val_loss: 0.1864 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0546 - categorical_accuracy: 0.9810 - val_loss: 0.1762 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9811 - val_loss: 0.1759 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9813 - val_loss: 0.1717 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9812 - val_loss: 0.1692 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.1261 - categorical_accuracy: 0.9650 - val_loss: 0.1740 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9818 - val_loss: 0.1635 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9823 - val_loss: 0.1644 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9812 - val_loss: 0.1939 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9813 - val_loss: 0.1671 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9810 - val_loss: 0.1668 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0919 - categorical_accuracy: 0.9726 - val_loss: 0.1659 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9813 - val_loss: 0.1733 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9816 - val_loss: 0.1761 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9820 - val_loss: 0.1806 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0880 - categorical_accuracy: 0.9732 - val_loss: 0.1666 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9818 - val_loss: 0.1746 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0513 - categorical_accuracy: 0.9822 - val_loss: 0.1722 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9818 - val_loss: 0.1679 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9816 - val_loss: 0.1833 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0989 - categorical_accuracy: 0.9710 - val_loss: 0.2020 - val_categorical_accuracy: 0.9462 - 630ms/epoch - 4ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9806 - val_loss: 0.1960 - val_categorical_accuracy: 0.9514 - 630ms/epoch - 4ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9821 - val_loss: 0.1673 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0558 - categorical_accuracy: 0.9806 - val_loss: 0.1803 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9821 - val_loss: 0.1911 - val_categorical_accuracy: 0.9522 - 640ms/epoch - 5ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0536 - categorical_accuracy: 0.9813 - val_loss: 0.1786 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9820 - val_loss: 0.1777 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9822 - val_loss: 0.1787 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9763 - val_loss: 0.1713 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9804 - val_loss: 0.1690 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9821 - val_loss: 0.1636 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9820 - val_loss: 0.1851 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9823 - val_loss: 0.1764 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9814 - val_loss: 0.1736 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9826 - val_loss: 0.1854 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.1620 - categorical_accuracy: 0.9568 - val_loss: 0.1738 - val_categorical_accuracy: 0.9523 - 630ms/epoch - 4ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9812 - val_loss: 0.1747 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9816 - val_loss: 0.1738 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1712 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9824 - val_loss: 0.1827 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9824 - val_loss: 0.1777 - val_categorical_accuracy: 0.9585 - 632ms/epoch - 4ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9820 - val_loss: 0.1757 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9824 - val_loss: 0.2058 - val_categorical_accuracy: 0.9491 - 630ms/epoch - 4ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9816 - val_loss: 0.1857 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9827 - val_loss: 0.1921 - val_categorical_accuracy: 0.9509 - 630ms/epoch - 4ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0811 - categorical_accuracy: 0.9748 - val_loss: 0.1655 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9827 - val_loss: 0.1701 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.1755 - categorical_accuracy: 0.9525 - val_loss: 0.1811 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9811 - val_loss: 0.1656 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9824 - val_loss: 0.1932 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9823 - val_loss: 0.1625 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9825 - val_loss: 0.1744 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9829 - val_loss: 0.1917 - val_categorical_accuracy: 0.9527 - 620ms/epoch - 4ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0723 - categorical_accuracy: 0.9766 - val_loss: 0.1767 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9828 - val_loss: 0.1771 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9830 - val_loss: 0.1783 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9831 - val_loss: 0.1884 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9819 - val_loss: 0.1780 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.1003 - categorical_accuracy: 0.9700 - val_loss: 0.1684 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9822 - val_loss: 0.1804 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9824 - val_loss: 0.1669 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9832 - val_loss: 0.1686 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9828 - val_loss: 0.1831 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9825 - val_loss: 0.1678 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9802 - val_loss: 0.1783 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0872 - categorical_accuracy: 0.9736 - val_loss: 0.1743 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9824 - val_loss: 0.1730 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9829 - val_loss: 0.1776 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9828 - val_loss: 0.2050 - val_categorical_accuracy: 0.9501 - 640ms/epoch - 5ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9825 - val_loss: 0.1782 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9822 - val_loss: 0.1733 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9826 - val_loss: 0.1850 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9795 - val_loss: 0.1805 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9830 - val_loss: 0.1906 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0516 - categorical_accuracy: 0.9819 - val_loss: 0.1775 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0717 - categorical_accuracy: 0.9763 - val_loss: 0.1710 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9827 - val_loss: 0.1770 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9831 - val_loss: 0.1746 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9828 - val_loss: 0.1753 - val_categorical_accuracy: 0.9574 - 650ms/epoch - 5ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9829 - val_loss: 0.1799 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9823 - val_loss: 0.2212 - val_categorical_accuracy: 0.9477 - 650ms/epoch - 5ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9823 - val_loss: 0.2078 - val_categorical_accuracy: 0.9506 - 650ms/epoch - 5ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9739 - val_loss: 0.1695 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9826 - val_loss: 0.1749 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9832 - val_loss: 0.1819 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9804 - val_loss: 0.2002 - val_categorical_accuracy: 0.9506 - 630ms/epoch - 4ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9827 - val_loss: 0.1683 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9836 - val_loss: 0.1759 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9833 - val_loss: 0.1707 - val_categorical_accuracy: 0.9601 - 620ms/epoch - 4ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9832 - val_loss: 0.1860 - val_categorical_accuracy: 0.9551 - 620ms/epoch - 4ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9828 - val_loss: 0.1782 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9826 - val_loss: 0.1931 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.1807 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9826 - val_loss: 0.1830 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0856 - categorical_accuracy: 0.9745 - val_loss: 0.1643 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9834 - val_loss: 0.1841 - val_categorical_accuracy: 0.9551 - 640ms/epoch - 5ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9823 - val_loss: 0.2010 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9838 - val_loss: 0.1964 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9836 - val_loss: 0.1684 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9831 - val_loss: 0.1803 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9833 - val_loss: 0.2041 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9814 - val_loss: 0.1952 - val_categorical_accuracy: 0.9521 - 630ms/epoch - 4ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.1242 - categorical_accuracy: 0.9685 - val_loss: 0.3183 - val_categorical_accuracy: 0.8944 - 630ms/epoch - 4ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9736 - val_loss: 0.1829 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9834 - val_loss: 0.1709 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9839 - val_loss: 0.1801 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9837 - val_loss: 0.1770 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9838 - val_loss: 0.1766 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9836 - val_loss: 0.1764 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.1329 - categorical_accuracy: 0.9639 - val_loss: 0.1734 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9829 - val_loss: 0.1786 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9835 - val_loss: 0.1690 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.1804 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9837 - val_loss: 0.1865 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9824 - val_loss: 0.1777 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9836 - val_loss: 0.1744 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9784 - val_loss: 0.1827 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9833 - val_loss: 0.1934 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9835 - val_loss: 0.1805 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9841 - val_loss: 0.1777 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9839 - val_loss: 0.2006 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1887 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9839 - val_loss: 0.1871 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9752 - val_loss: 0.1905 - val_categorical_accuracy: 0.9525 - 630ms/epoch - 4ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9831 - val_loss: 0.1786 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9838 - val_loss: 0.1748 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9826 - val_loss: 0.1803 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9834 - val_loss: 0.1913 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9838 - val_loss: 0.1836 - val_categorical_accuracy: 0.9597 - 620ms/epoch - 4ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9839 - val_loss: 0.1757 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9767 - val_loss: 0.1863 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9836 - val_loss: 0.1932 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.1733 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9836 - val_loss: 0.1883 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9839 - val_loss: 0.1827 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9836 - val_loss: 0.1867 - val_categorical_accuracy: 0.9604 - 632ms/epoch - 4ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9838 - val_loss: 0.1829 - val_categorical_accuracy: 0.9596 - 620ms/epoch - 4ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9839 - val_loss: 0.2110 - val_categorical_accuracy: 0.9497 - 630ms/epoch - 4ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9819 - val_loss: 0.1896 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.1938 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1921 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9775 - val_loss: 0.2042 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9839 - val_loss: 0.1947 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.1912 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9838 - val_loss: 0.2110 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9841 - val_loss: 0.1844 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.2147 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9840 - val_loss: 0.1994 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9839 - val_loss: 0.2007 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9837 - val_loss: 0.1893 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9831 - val_loss: 0.1972 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0933 - categorical_accuracy: 0.9729 - val_loss: 0.1836 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1780 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.1757 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9844 - val_loss: 0.1966 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9834 - val_loss: 0.1930 - val_categorical_accuracy: 0.9579 - 660ms/epoch - 5ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9837 - val_loss: 0.1814 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9828 - val_loss: 0.1838 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.1823 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9843 - val_loss: 0.1986 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9840 - val_loss: 0.2072 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0937 - categorical_accuracy: 0.9727 - val_loss: 0.1937 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9842 - val_loss: 0.1783 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9841 - val_loss: 0.1903 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9843 - val_loss: 0.1908 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1869 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9831 - val_loss: 0.1829 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9848 - val_loss: 0.1899 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0873 - categorical_accuracy: 0.9741 - val_loss: 0.1896 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9841 - val_loss: 0.1912 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9847 - val_loss: 0.1814 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0814 - categorical_accuracy: 0.9754 - val_loss: 0.1727 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9846 - val_loss: 0.1807 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1958 - val_categorical_accuracy: 0.9562 - 640ms/epoch - 5ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1824 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1759 - val_categorical_accuracy: 0.9615 - 650ms/epoch - 5ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9845 - val_loss: 0.1940 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.1940 - val_categorical_accuracy: 0.9567 - 830ms/epoch - 6ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9844 - val_loss: 0.2073 - val_categorical_accuracy: 0.9532 - 640ms/epoch - 5ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.2007 - val_categorical_accuracy: 0.9555 - 670ms/epoch - 5ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1880 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9840 - val_loss: 0.1829 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.1849 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9844 - val_loss: 0.1920 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9840 - val_loss: 0.2003 - val_categorical_accuracy: 0.9550 - 640ms/epoch - 5ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0821 - categorical_accuracy: 0.9756 - val_loss: 0.1867 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9833 - val_loss: 0.1745 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.2100 - val_categorical_accuracy: 0.9534 - 640ms/epoch - 5ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.2060 - val_categorical_accuracy: 0.9560 - 640ms/epoch - 5ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9848 - val_loss: 0.2648 - val_categorical_accuracy: 0.9440 - 640ms/epoch - 5ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9826 - val_loss: 0.1854 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.2529 - val_categorical_accuracy: 0.9466 - 640ms/epoch - 5ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9827 - val_loss: 0.2182 - val_categorical_accuracy: 0.9484 - 640ms/epoch - 5ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9838 - val_loss: 0.2013 - val_categorical_accuracy: 0.9560 - 640ms/epoch - 5ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9849 - val_loss: 0.1828 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.1855 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9841 - val_loss: 0.1851 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0875 - categorical_accuracy: 0.9745 - val_loss: 0.1818 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1854 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9842 - val_loss: 0.2000 - val_categorical_accuracy: 0.9543 - 650ms/epoch - 5ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.1846 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1883 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9847 - val_loss: 0.2042 - val_categorical_accuracy: 0.9538 - 640ms/epoch - 5ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9851 - val_loss: 0.1918 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9848 - val_loss: 0.3630 - val_categorical_accuracy: 0.9175 - 640ms/epoch - 5ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.1780 - categorical_accuracy: 0.9536 - val_loss: 0.1907 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9842 - val_loss: 0.1757 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1876 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9852 - val_loss: 0.1854 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9853 - val_loss: 0.1929 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9841 - val_loss: 0.1891 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1957 - val_categorical_accuracy: 0.9572 - 640ms/epoch - 5ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9850 - val_loss: 0.1852 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1893 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9846 - val_loss: 0.1932 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9841 - val_loss: 0.5683 - val_categorical_accuracy: 0.8869 - 640ms/epoch - 5ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.1045 - categorical_accuracy: 0.9714 - val_loss: 0.1753 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.1952 - val_categorical_accuracy: 0.9529 - 640ms/epoch - 5ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9786 - val_loss: 0.1826 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.1827 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9850 - val_loss: 0.1816 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9855 - val_loss: 0.1864 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.1898 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9852 - val_loss: 0.1928 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0642 - categorical_accuracy: 0.9791 - val_loss: 0.1772 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1941 - val_categorical_accuracy: 0.9555 - 640ms/epoch - 5ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9851 - val_loss: 0.1848 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.2096 - val_categorical_accuracy: 0.9539 - 640ms/epoch - 5ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1934 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.1872 - val_categorical_accuracy: 0.9601 - 636ms/epoch - 5ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.1818 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.2185 - val_categorical_accuracy: 0.9517 - 640ms/epoch - 5ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9841 - val_loss: 0.1967 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.2115 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1842 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9846 - val_loss: 0.2042 - val_categorical_accuracy: 0.9569 - 640ms/epoch - 5ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9842 - val_loss: 0.1969 - val_categorical_accuracy: 0.9580 - 640ms/epoch - 5ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9843 - val_loss: 0.2052 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1940 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0886 - categorical_accuracy: 0.9740 - val_loss: 0.1930 - val_categorical_accuracy: 0.9560 - 640ms/epoch - 5ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9847 - val_loss: 0.2093 - val_categorical_accuracy: 0.9565 - 640ms/epoch - 5ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.1924 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9854 - val_loss: 0.1938 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.2074 - val_categorical_accuracy: 0.9565 - 650ms/epoch - 5ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.2020 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.1956 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0795 - categorical_accuracy: 0.9767 - val_loss: 0.1769 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9842 - val_loss: 0.1912 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9849 - val_loss: 0.1849 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9853 - val_loss: 0.2002 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1981 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.2003 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9849 - val_loss: 0.1901 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.2040 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.1012 - categorical_accuracy: 0.9711 - val_loss: 0.1818 - val_categorical_accuracy: 0.9571 - 640ms/epoch - 5ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9852 - val_loss: 0.1886 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9857 - val_loss: 0.1955 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.1841 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9857 - val_loss: 0.1856 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.1950 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9849 - val_loss: 0.2019 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.2007 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1888 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9857 - val_loss: 0.1939 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9850 - val_loss: 0.2046 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.2028 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.1949 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9850 - val_loss: 0.1987 - val_categorical_accuracy: 0.9583 - 650ms/epoch - 5ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9853 - val_loss: 0.1947 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9847 - val_loss: 0.2036 - val_categorical_accuracy: 0.9600 - 650ms/epoch - 5ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1889 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.2074 - val_categorical_accuracy: 0.9573 - 650ms/epoch - 5ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.2211 - val_categorical_accuracy: 0.9542 - 640ms/epoch - 5ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.1601 - categorical_accuracy: 0.9569 - val_loss: 0.1814 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9834 - val_loss: 0.1819 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9853 - val_loss: 0.1922 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.1860 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9856 - val_loss: 0.1827 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.2774 - val_categorical_accuracy: 0.9414 - 630ms/epoch - 4ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9849 - val_loss: 0.1846 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.1905 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2012 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9843 - val_loss: 0.1968 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.2020 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9850 - val_loss: 0.1911 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9857 - val_loss: 0.2103 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.2060 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.2065 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.1841 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2131 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1982 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.2085 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0884 - categorical_accuracy: 0.9750 - val_loss: 0.2265 - val_categorical_accuracy: 0.9438 - 630ms/epoch - 4ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9831 - val_loss: 0.2017 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.2169 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.1864 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.2348 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9838 - val_loss: 0.2091 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9853 - val_loss: 0.1956 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.1992 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9855 - val_loss: 0.2271 - val_categorical_accuracy: 0.9496 - 630ms/epoch - 4ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0816 - categorical_accuracy: 0.9762 - val_loss: 0.1903 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.2037 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9857 - val_loss: 0.1859 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.1922 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.1918 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.2101 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9858 - val_loss: 0.1991 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9861 - val_loss: 0.2055 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.1173 - categorical_accuracy: 0.9690 - val_loss: 0.2048 - val_categorical_accuracy: 0.9442 - 630ms/epoch - 4ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9822 - val_loss: 0.1814 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9858 - val_loss: 0.1969 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9854 - val_loss: 0.1860 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1858 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.2019 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.1938 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1999 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.1974 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9849 - val_loss: 0.2095 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.2108 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9856 - val_loss: 0.1996 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.2067 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1999 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.2071 - val_categorical_accuracy: 0.9572 - 633ms/epoch - 4ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.2150 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.2014 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.1969 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9855 - val_loss: 0.2053 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9851 - val_loss: 0.2080 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9855 - val_loss: 0.1909 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9857 - val_loss: 0.2034 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9851 - val_loss: 0.2125 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9857 - val_loss: 0.2105 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.2144 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9856 - val_loss: 0.2053 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.2107 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9861 - val_loss: 0.2005 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.1987 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.2054 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.2104 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.2200 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9851 - val_loss: 0.2000 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.2119 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.2202 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.1020 - categorical_accuracy: 0.9715 - val_loss: 0.1835 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9863 - val_loss: 0.1934 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9849 - val_loss: 0.1909 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.1983 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9860 - val_loss: 0.2096 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.2075 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.2153 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.2054 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9855 - val_loss: 0.2039 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.2020 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.1963 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9865 - val_loss: 0.2012 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1965 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2050 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.2050 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9858 - val_loss: 0.1931 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9853 - val_loss: 0.2118 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.2105 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.1540 - categorical_accuracy: 0.9610 - val_loss: 0.1869 - val_categorical_accuracy: 0.9515 - 650ms/epoch - 5ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9826 - val_loss: 0.1867 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1852 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9867 - val_loss: 0.1890 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9862 - val_loss: 0.2117 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2049 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1917 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2006 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9851 - val_loss: 0.2752 - val_categorical_accuracy: 0.9390 - 630ms/epoch - 4ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9779 - val_loss: 0.1895 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2333 - val_categorical_accuracy: 0.9513 - 630ms/epoch - 4ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9836 - val_loss: 0.1973 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2283 - val_categorical_accuracy: 0.9519 - 640ms/epoch - 5ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.2089 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9860 - val_loss: 0.1968 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9868 - val_loss: 0.1962 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.2096 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2117 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.1965 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9859 - val_loss: 0.2139 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.3296 - categorical_accuracy: 0.9111 - val_loss: 0.2364 - val_categorical_accuracy: 0.9290 - 630ms/epoch - 4ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0888 - categorical_accuracy: 0.9694 - val_loss: 0.1804 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0497 - categorical_accuracy: 0.9826 - val_loss: 0.1770 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9851 - val_loss: 0.2115 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9859 - val_loss: 0.1881 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1888 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9862 - val_loss: 0.1875 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9864 - val_loss: 0.1989 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1979 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.2221 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9862 - val_loss: 0.2055 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9860 - val_loss: 0.1931 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1934 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.2219 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9859 - val_loss: 0.1945 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9866 - val_loss: 0.1970 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.2048 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1946 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2442 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2111 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2059 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1998 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1976 - val_categorical_accuracy: 0.9632 - 630ms/epoch - 4ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2071 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9862 - val_loss: 0.2111 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2281 - val_categorical_accuracy: 0.9526 - 630ms/epoch - 4ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2007 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.2161 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.2305 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.2095 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0593 - categorical_accuracy: 0.9811 - val_loss: 0.1946 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2019 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2183 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9765 - val_loss: 0.2295 - val_categorical_accuracy: 0.9359 - 630ms/epoch - 4ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9832 - val_loss: 0.1924 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9866 - val_loss: 0.1879 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9865 - val_loss: 0.1992 - val_categorical_accuracy: 0.9599 - 636ms/epoch - 5ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9867 - val_loss: 0.1977 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9868 - val_loss: 0.2144 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2011 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.2401 - val_categorical_accuracy: 0.9511 - 630ms/epoch - 4ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.2087 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9853 - val_loss: 0.2284 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9863 - val_loss: 0.1932 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9869 - val_loss: 0.1992 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.1984 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.1942 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.2199 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2093 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2172 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2191 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2166 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.2014 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1995 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.2017 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.2162 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.2064 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2027 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2158 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9861 - val_loss: 0.2094 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2292 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2107 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.2093 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2080 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2013 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.2262 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2160 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9866 - val_loss: 0.2128 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9859 - val_loss: 0.2122 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.2233 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.1350 - categorical_accuracy: 0.9675 - val_loss: 0.2920 - val_categorical_accuracy: 0.9068 - 630ms/epoch - 4ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0699 - categorical_accuracy: 0.9756 - val_loss: 0.1921 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9863 - val_loss: 0.2050 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.1921 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1948 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.1998 - val_categorical_accuracy: 0.9602 - 650ms/epoch - 5ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2040 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2131 - val_categorical_accuracy: 0.9563 - 650ms/epoch - 5ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.2015 - val_categorical_accuracy: 0.9610 - 650ms/epoch - 5ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1963 - val_categorical_accuracy: 0.9627 - 660ms/epoch - 5ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.2220 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.2134 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2064 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2040 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2525 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9793 - val_loss: 0.2381 - val_categorical_accuracy: 0.9408 - 630ms/epoch - 4ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9832 - val_loss: 0.2030 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2021 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.1991 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2092 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.2043 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2026 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2107 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2508 - val_categorical_accuracy: 0.9482 - 640ms/epoch - 5ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.1456 - categorical_accuracy: 0.9607 - val_loss: 0.1822 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.2014 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2018 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.1965 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2084 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2072 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.1982 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2106 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2052 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2129 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9872 - val_loss: 0.2171 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.2089 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2077 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2272 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2175 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2111 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2069 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2070 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2225 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2253 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2591 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.2120 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0789 - categorical_accuracy: 0.9771 - val_loss: 0.1979 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9858 - val_loss: 0.2047 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9869 - val_loss: 0.2336 - val_categorical_accuracy: 0.9505 - 630ms/epoch - 4ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.2120 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9872 - val_loss: 0.2067 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.2082 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.2081 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2149 - val_categorical_accuracy: 0.9602 - 660ms/epoch - 5ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2227 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2257 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9865 - val_loss: 0.2024 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9861 - val_loss: 0.2050 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2295 - val_categorical_accuracy: 0.9567 - 640ms/epoch - 5ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2363 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2153 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2296 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2183 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2165 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.1160 - categorical_accuracy: 0.9696 - val_loss: 0.2014 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9868 - val_loss: 0.2119 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9869 - val_loss: 0.2069 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2379 - val_categorical_accuracy: 0.9537 - 640ms/epoch - 5ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2090 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2029 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2045 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2097 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2082 - val_categorical_accuracy: 0.9632 - 630ms/epoch - 4ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2260 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2034 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2247 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9870 - val_loss: 0.2131 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2191 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2200 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2107 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2285 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2310 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.2206 - categorical_accuracy: 0.9400 - val_loss: 0.1859 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9853 - val_loss: 0.1895 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.1930 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9870 - val_loss: 0.1934 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2113 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2013 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1991 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.2297 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.2035 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2102 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2024 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2106 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2167 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2068 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2085 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2103 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2305 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9866 - val_loss: 0.2157 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2089 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2215 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9866 - val_loss: 0.2221 - val_categorical_accuracy: 0.9613 - 650ms/epoch - 5ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9865 - val_loss: 0.2195 - val_categorical_accuracy: 0.9592 - 660ms/epoch - 5ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9739 - val_loss: 0.1946 - val_categorical_accuracy: 0.9577 - 650ms/epoch - 5ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9862 - val_loss: 0.2020 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9872 - val_loss: 0.2019 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2045 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2056 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2429 - val_categorical_accuracy: 0.9500 - 630ms/epoch - 4ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2085 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2232 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2113 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2185 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2149 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2158 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2273 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.1582 - categorical_accuracy: 0.9579 - val_loss: 0.2108 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9868 - val_loss: 0.1953 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.1993 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9875 - val_loss: 0.2094 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2013 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2054 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2123 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2062 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.2267 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2180 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2078 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.2175 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2210 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2159 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9867 - val_loss: 0.2193 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2148 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2264 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9874 - val_loss: 0.2087 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2066 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2125 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2359 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.2168 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2301 - val_categorical_accuracy: 0.9524 - 630ms/epoch - 4ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.2121 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2285 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9859 - val_loss: 0.4676 - val_categorical_accuracy: 0.9088 - 640ms/epoch - 5ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.1423 - categorical_accuracy: 0.9632 - val_loss: 0.1991 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9867 - val_loss: 0.2024 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.1996 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2322 - val_categorical_accuracy: 0.9525 - 630ms/epoch - 4ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2121 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2158 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2050 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9874 - val_loss: 0.2204 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2146 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2289 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2241 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2204 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2150 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2327 - val_categorical_accuracy: 0.9576 - 632ms/epoch - 4ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0792 - categorical_accuracy: 0.9764 - val_loss: 0.2032 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2059 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.2396 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2095 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2166 - val_categorical_accuracy: 0.9609 - 660ms/epoch - 5ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2119 - val_categorical_accuracy: 0.9620 - 840ms/epoch - 6ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2398 - val_categorical_accuracy: 0.9538 - 640ms/epoch - 5ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2381 - val_categorical_accuracy: 0.9568 - 640ms/epoch - 5ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2288 - val_categorical_accuracy: 0.9580 - 640ms/epoch - 5ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2270 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9850 - val_loss: 0.2095 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2107 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2185 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2299 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2169 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2340 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2119 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2145 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2304 - val_categorical_accuracy: 0.9561 - 640ms/epoch - 5ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2266 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9876 - val_loss: 0.2281 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2371 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2249 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2250 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9871 - val_loss: 0.2231 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2229 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2182 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.2162 - val_categorical_accuracy: 0.9606 - 650ms/epoch - 5ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2421 - val_categorical_accuracy: 0.9545 - 640ms/epoch - 5ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.2262 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2279 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2163 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2325 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2210 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2371 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0728 - categorical_accuracy: 0.9795 - val_loss: 0.2086 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2041 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2209 - val_categorical_accuracy: 0.9604 - 660ms/epoch - 5ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2136 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2144 - val_categorical_accuracy: 0.9618 - 650ms/epoch - 5ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2163 - val_categorical_accuracy: 0.9616 - 660ms/epoch - 5ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2196 - val_categorical_accuracy: 0.9591 - 650ms/epoch - 5ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2301 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.2771 - categorical_accuracy: 0.9406 - val_loss: 0.7408 - val_categorical_accuracy: 0.7429 - 640ms/epoch - 5ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.2424 - categorical_accuracy: 0.9153 - val_loss: 0.2050 - val_categorical_accuracy: 0.9458 - 640ms/epoch - 5ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9747 - val_loss: 0.1946 - val_categorical_accuracy: 0.9553 - 640ms/epoch - 5ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9823 - val_loss: 0.1918 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9846 - val_loss: 0.1942 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9855 - val_loss: 0.1996 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.1947 - val_categorical_accuracy: 0.9613 - 650ms/epoch - 5ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9865 - val_loss: 0.2135 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.2048 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2197 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9871 - val_loss: 0.2093 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.2029 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9875 - val_loss: 0.2268 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2178 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9873 - val_loss: 0.2175 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2278 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9872 - val_loss: 0.2225 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2279 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2198 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2113 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.2246 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.2184 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2306 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2201 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2183 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2296 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2163 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2292 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2326 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2288 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2148 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.1585 - categorical_accuracy: 0.9606 - val_loss: 0.1968 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9854 - val_loss: 0.2044 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9874 - val_loss: 0.2009 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9879 - val_loss: 0.2151 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9878 - val_loss: 0.2108 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9881 - val_loss: 0.2131 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.2254 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2334 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.2184 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.2140 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2129 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2224 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2343 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2119 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2163 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2135 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2165 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2360 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2259 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2233 - val_categorical_accuracy: 0.9606 - 647ms/epoch - 5ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2181 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2316 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.2392 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2253 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2412 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2513 - val_categorical_accuracy: 0.9544 - 640ms/epoch - 5ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2339 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2228 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2304 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2289 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2443 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9877 - val_loss: 0.2195 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9867 - val_loss: 0.2633 - val_categorical_accuracy: 0.9517 - 640ms/epoch - 5ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2231 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2250 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2288 - val_categorical_accuracy: 0.9617 - 650ms/epoch - 5ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9872 - val_loss: 0.2230 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9872 - val_loss: 0.2250 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2398 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2739 - val_categorical_accuracy: 0.9564 - 640ms/epoch - 5ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2416 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2469 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2318 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2313 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2277 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2400 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2517 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.1150 - categorical_accuracy: 0.9700 - val_loss: 0.2007 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9879 - val_loss: 0.2098 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2182 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2153 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2145 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9878 - val_loss: 0.2246 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2141 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2265 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2229 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2176 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2367 - val_categorical_accuracy: 0.9568 - 650ms/epoch - 5ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2435 - val_categorical_accuracy: 0.9574 - 650ms/epoch - 5ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2235 - val_categorical_accuracy: 0.9622 - 660ms/epoch - 5ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2344 - val_categorical_accuracy: 0.9579 - 650ms/epoch - 5ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9856 - val_loss: 0.2230 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2232 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2299 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2240 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2240 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9881 - val_loss: 0.2456 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2545 - val_categorical_accuracy: 0.9524 - 640ms/epoch - 5ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0863 - categorical_accuracy: 0.9797 - val_loss: 0.5696 - val_categorical_accuracy: 0.8392 - 640ms/epoch - 5ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9751 - val_loss: 0.2044 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9880 - val_loss: 0.2034 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9882 - val_loss: 0.2264 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2138 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2214 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2336 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2307 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2328 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9810 - val_loss: 0.2165 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2338 - val_categorical_accuracy: 0.9544 - 640ms/epoch - 5ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2132 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9878 - val_loss: 0.2311 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2133 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2235 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2179 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2390 - val_categorical_accuracy: 0.9569 - 650ms/epoch - 5ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2351 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2281 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2357 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2328 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2352 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2274 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2311 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2232 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2524 - val_categorical_accuracy: 0.9562 - 640ms/epoch - 5ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2334 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2336 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2338 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2336 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2514 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2496 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2363 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2266 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.2320 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2304 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2477 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2286 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2265 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2443 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2499 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2292 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2414 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2303 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2395 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2396 - val_categorical_accuracy: 0.9586 - 641ms/epoch - 5ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2401 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2304 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.2349 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2282 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2346 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2391 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.1019 - categorical_accuracy: 0.9744 - val_loss: 0.2241 - val_categorical_accuracy: 0.9416 - 630ms/epoch - 4ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9835 - val_loss: 0.2182 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2053 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2078 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9878 - val_loss: 0.2206 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2173 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2398 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2262 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2385 - val_categorical_accuracy: 0.9603 - 650ms/epoch - 5ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0840 - categorical_accuracy: 0.9783 - val_loss: 0.2222 - val_categorical_accuracy: 0.9502 - 640ms/epoch - 5ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.2158 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2176 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9887 - val_loss: 0.2142 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2161 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2239 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2252 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2372 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2259 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2389 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2277 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2326 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2300 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2238 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0585 - categorical_accuracy: 0.9817 - val_loss: 0.2206 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2258 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2279 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2255 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2458 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2179 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2367 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2226 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2409 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0873 - categorical_accuracy: 0.9759 - val_loss: 0.2244 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2121 - val_categorical_accuracy: 0.9601 - 660ms/epoch - 5ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2259 - val_categorical_accuracy: 0.9582 - 650ms/epoch - 5ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2529 - val_categorical_accuracy: 0.9534 - 640ms/epoch - 5ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2466 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2239 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2226 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2265 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2206 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2432 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2317 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2295 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2441 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2265 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2509 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2395 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2395 - val_categorical_accuracy: 0.9568 - 640ms/epoch - 5ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2365 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2559 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2350 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2407 - val_categorical_accuracy: 0.9596 - 680ms/epoch - 5ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2297 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2680 - val_categorical_accuracy: 0.9532 - 640ms/epoch - 5ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9878 - val_loss: 0.2333 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2330 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2534 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2353 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2423 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2398 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2327 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0856 - categorical_accuracy: 0.9776 - val_loss: 0.2165 - val_categorical_accuracy: 0.9465 - 630ms/epoch - 4ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9843 - val_loss: 0.2092 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2217 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2162 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2211 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2290 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2237 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2227 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2277 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2312 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2349 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2307 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2353 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2275 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2366 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2490 - val_categorical_accuracy: 0.9572 - 640ms/epoch - 5ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2342 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2290 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2459 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2399 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2329 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2533 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2409 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2405 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2535 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2498 - val_categorical_accuracy: 0.9600 - 633ms/epoch - 4ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.1482 - categorical_accuracy: 0.9653 - val_loss: 0.2221 - val_categorical_accuracy: 0.9403 - 640ms/epoch - 5ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9814 - val_loss: 0.2188 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2202 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2330 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9888 - val_loss: 0.2215 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9891 - val_loss: 0.2336 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2275 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2219 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2298 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2333 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2291 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2461 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2313 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.2644 - val_categorical_accuracy: 0.9524 - 630ms/epoch - 4ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2309 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2349 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2570 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2345 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2808 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9798 - val_loss: 0.2255 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2138 - val_categorical_accuracy: 0.9638 - 640ms/epoch - 5ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2385 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2253 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2512 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9880 - val_loss: 0.2255 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2301 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2218 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2499 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2299 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2512 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2463 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2251 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2356 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2529 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2363 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2344 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2625 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2511 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9887 - val_loss: 0.2382 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2351 - val_categorical_accuracy: 0.9591 - 660ms/epoch - 5ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2415 - val_categorical_accuracy: 0.9619 - 660ms/epoch - 5ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.1385 - categorical_accuracy: 0.9658 - val_loss: 0.2148 - val_categorical_accuracy: 0.9542 - 650ms/epoch - 5ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9863 - val_loss: 0.2056 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2187 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2278 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2329 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2202 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2240 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2383 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2338 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2293 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2291 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2344 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2727 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2506 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2312 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2304 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2384 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2391 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2373 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2352 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2377 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2609 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.2581 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.1632 - categorical_accuracy: 0.9581 - val_loss: 0.2000 - val_categorical_accuracy: 0.9535 - 630ms/epoch - 4ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9855 - val_loss: 0.2276 - val_categorical_accuracy: 0.9564 - 640ms/epoch - 5ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9884 - val_loss: 0.2199 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9891 - val_loss: 0.2159 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9891 - val_loss: 0.2233 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2359 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2277 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2290 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2339 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2366 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9880 - val_loss: 0.2272 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2392 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2331 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2449 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2315 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2362 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2309 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2359 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2437 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2379 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2353 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9883 - val_loss: 0.2399 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2446 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2479 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2655 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2316 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2381 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2426 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2714 - val_categorical_accuracy: 0.9539 - 630ms/epoch - 4ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2271 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2326 - val_categorical_accuracy: 0.9630 - 644ms/epoch - 5ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2503 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.2578 - val_categorical_accuracy: 0.9561 - 640ms/epoch - 5ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2422 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9871 - val_loss: 0.2367 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2587 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2740 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2590 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2489 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2410 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2429 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2442 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2342 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2426 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0742 - categorical_accuracy: 0.9793 - val_loss: 0.2167 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2317 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2255 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2309 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2505 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2319 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2341 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2326 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2511 - val_categorical_accuracy: 0.9583 - 820ms/epoch - 6ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2337 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2500 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2436 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2327 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2428 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2458 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2483 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2472 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2489 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9886 - val_loss: 0.2389 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.1165 - categorical_accuracy: 0.9693 - val_loss: 0.2305 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2331 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2384 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2369 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2286 - val_categorical_accuracy: 0.9594 - 650ms/epoch - 5ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.3309 - categorical_accuracy: 0.9031 - val_loss: 0.2174 - val_categorical_accuracy: 0.9382 - 660ms/epoch - 5ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9744 - val_loss: 0.2012 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9852 - val_loss: 0.2019 - val_categorical_accuracy: 0.9608 - 660ms/epoch - 5ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.2096 - val_categorical_accuracy: 0.9623 - 660ms/epoch - 5ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9887 - val_loss: 0.2077 - val_categorical_accuracy: 0.9619 - 650ms/epoch - 5ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2172 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2107 - val_categorical_accuracy: 0.9639 - 650ms/epoch - 5ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2197 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2189 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2307 - val_categorical_accuracy: 0.9562 - 640ms/epoch - 5ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2225 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2246 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2224 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2304 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2231 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2279 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2376 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2388 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2417 - val_categorical_accuracy: 0.9562 - 640ms/epoch - 5ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2303 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2437 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2395 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2430 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2510 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2314 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2310 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2594 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2377 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2455 - val_categorical_accuracy: 0.9619 - 650ms/epoch - 5ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2311 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2392 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2342 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2364 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2391 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2378 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2709 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2430 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2352 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2448 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2958 - val_categorical_accuracy: 0.9512 - 640ms/epoch - 5ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.3511 - categorical_accuracy: 0.9039 - val_loss: 0.2097 - val_categorical_accuracy: 0.9453 - 640ms/epoch - 5ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9796 - val_loss: 0.1965 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.2078 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9879 - val_loss: 0.2011 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9886 - val_loss: 0.2039 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9886 - val_loss: 0.2199 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2131 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2158 - val_categorical_accuracy: 0.9642 - 640ms/epoch - 5ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2214 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9889 - val_loss: 0.2197 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2237 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2380 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9892 - val_loss: 0.2245 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2471 - val_categorical_accuracy: 0.9552 - 640ms/epoch - 5ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2295 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2363 - val_categorical_accuracy: 0.9613 - 635ms/epoch - 5ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2453 - val_categorical_accuracy: 0.9560 - 639ms/epoch - 5ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0744 - categorical_accuracy: 0.9790 - val_loss: 0.2217 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2223 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9893 - val_loss: 0.2277 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2229 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2365 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2254 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2261 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2539 - val_categorical_accuracy: 0.9580 - 640ms/epoch - 5ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2284 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.2227 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2293 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2379 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2303 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2403 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2491 - val_categorical_accuracy: 0.9566 - 650ms/epoch - 5ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2301 - val_categorical_accuracy: 0.9646 - 640ms/epoch - 5ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2304 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2361 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9890 - val_loss: 0.2344 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2419 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9890 - val_loss: 0.2370 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2515 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2428 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2546 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2340 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9887 - val_loss: 0.2421 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2405 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.3208 - val_categorical_accuracy: 0.9492 - 640ms/epoch - 5ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9880 - val_loss: 0.2455 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2428 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2332 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2435 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2458 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2472 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2431 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2669 - val_categorical_accuracy: 0.9552 - 640ms/epoch - 5ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2420 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2497 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2500 - val_categorical_accuracy: 0.9601 - 660ms/epoch - 5ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2502 - val_categorical_accuracy: 0.9581 - 660ms/epoch - 5ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2433 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2423 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9893 - val_loss: 0.2503 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2451 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2521 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2521 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2484 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2395 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9888 - val_loss: 0.2493 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2573 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.1314 - categorical_accuracy: 0.9673 - val_loss: 0.2204 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2160 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2351 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2542 - val_categorical_accuracy: 0.9568 - 640ms/epoch - 5ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2301 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2425 - val_categorical_accuracy: 0.9568 - 640ms/epoch - 5ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2264 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2465 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9888 - val_loss: 0.2653 - val_categorical_accuracy: 0.9551 - 650ms/epoch - 5ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2572 - val_categorical_accuracy: 0.9558 - 640ms/epoch - 5ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2475 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2547 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9889 - val_loss: 0.2666 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9893 - val_loss: 0.2463 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2374 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9893 - val_loss: 0.2415 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2504 - val_categorical_accuracy: 0.9569 - 640ms/epoch - 5ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2372 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2435 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2389 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2418 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2329 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2413 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2528 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2433 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2472 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.1261 - categorical_accuracy: 0.9680 - val_loss: 0.2062 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2178 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2264 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2261 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.2263 - val_categorical_accuracy: 0.9628 - 650ms/epoch - 5ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2376 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2283 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2293 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2588 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2353 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2339 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2428 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
processing fold # 9 
Epoch 1/1500

WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0033s). Check your callbacks.

141/141 - 1s - loss: 1.8831 - categorical_accuracy: 0.3058 - val_loss: 1.7397 - val_categorical_accuracy: 0.3477 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.4709 - categorical_accuracy: 0.4495 - val_loss: 1.3136 - val_categorical_accuracy: 0.4952 - 630ms/epoch - 4ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.2519 - categorical_accuracy: 0.5288 - val_loss: 1.1208 - val_categorical_accuracy: 0.5719 - 630ms/epoch - 4ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.0958 - categorical_accuracy: 0.5884 - val_loss: 1.1193 - val_categorical_accuracy: 0.5752 - 635ms/epoch - 5ms/step
Epoch 5/1500
141/141 - 1s - loss: 0.9884 - categorical_accuracy: 0.6303 - val_loss: 0.8376 - val_categorical_accuracy: 0.6824 - 630ms/epoch - 4ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.8981 - categorical_accuracy: 0.6644 - val_loss: 0.8646 - val_categorical_accuracy: 0.6761 - 630ms/epoch - 4ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.7955 - categorical_accuracy: 0.7007 - val_loss: 0.7020 - val_categorical_accuracy: 0.7390 - 630ms/epoch - 4ms/step
Epoch 8/1500
141/141 - 1s - loss: 0.9106 - categorical_accuracy: 0.6772 - val_loss: 1.6600 - val_categorical_accuracy: 0.3893 - 630ms/epoch - 4ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.8768 - categorical_accuracy: 0.6783 - val_loss: 0.7626 - val_categorical_accuracy: 0.7125 - 640ms/epoch - 5ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.7042 - categorical_accuracy: 0.7400 - val_loss: 0.6367 - val_categorical_accuracy: 0.7603 - 630ms/epoch - 4ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6276 - categorical_accuracy: 0.7644 - val_loss: 0.9212 - val_categorical_accuracy: 0.6793 - 640ms/epoch - 5ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.8485 - categorical_accuracy: 0.7005 - val_loss: 0.9810 - val_categorical_accuracy: 0.6669 - 630ms/epoch - 4ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.6077 - categorical_accuracy: 0.7740 - val_loss: 0.6292 - val_categorical_accuracy: 0.7657 - 630ms/epoch - 4ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5442 - categorical_accuracy: 0.7968 - val_loss: 0.5452 - val_categorical_accuracy: 0.7875 - 630ms/epoch - 4ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5219 - categorical_accuracy: 0.8059 - val_loss: 0.5289 - val_categorical_accuracy: 0.8011 - 630ms/epoch - 4ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5004 - categorical_accuracy: 0.8138 - val_loss: 0.4966 - val_categorical_accuracy: 0.8188 - 630ms/epoch - 4ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.7140 - categorical_accuracy: 0.7573 - val_loss: 0.4949 - val_categorical_accuracy: 0.8200 - 630ms/epoch - 4ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.4952 - categorical_accuracy: 0.8189 - val_loss: 0.4754 - val_categorical_accuracy: 0.8287 - 630ms/epoch - 4ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4485 - categorical_accuracy: 0.8341 - val_loss: 0.4742 - val_categorical_accuracy: 0.8231 - 630ms/epoch - 4ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4332 - categorical_accuracy: 0.8400 - val_loss: 0.4287 - val_categorical_accuracy: 0.8410 - 630ms/epoch - 4ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4457 - categorical_accuracy: 0.8392 - val_loss: 0.4336 - val_categorical_accuracy: 0.8381 - 630ms/epoch - 4ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.3962 - categorical_accuracy: 0.8549 - val_loss: 0.3696 - val_categorical_accuracy: 0.8678 - 630ms/epoch - 4ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.3926 - categorical_accuracy: 0.8553 - val_loss: 0.3724 - val_categorical_accuracy: 0.8650 - 630ms/epoch - 4ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3799 - categorical_accuracy: 0.8610 - val_loss: 0.4084 - val_categorical_accuracy: 0.8481 - 630ms/epoch - 4ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.4134 - categorical_accuracy: 0.8539 - val_loss: 0.4366 - val_categorical_accuracy: 0.8423 - 630ms/epoch - 4ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3567 - categorical_accuracy: 0.8705 - val_loss: 0.5411 - val_categorical_accuracy: 0.8046 - 630ms/epoch - 4ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3440 - categorical_accuracy: 0.8749 - val_loss: 0.3440 - val_categorical_accuracy: 0.8759 - 630ms/epoch - 4ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.3415 - categorical_accuracy: 0.8763 - val_loss: 0.3240 - val_categorical_accuracy: 0.8858 - 630ms/epoch - 4ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.8475 - categorical_accuracy: 0.7234 - val_loss: 0.4872 - val_categorical_accuracy: 0.8273 - 630ms/epoch - 4ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3725 - categorical_accuracy: 0.8656 - val_loss: 0.3497 - val_categorical_accuracy: 0.8734 - 630ms/epoch - 4ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.3702 - categorical_accuracy: 0.8696 - val_loss: 0.3283 - val_categorical_accuracy: 0.8837 - 630ms/epoch - 4ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3180 - categorical_accuracy: 0.8848 - val_loss: 0.3535 - val_categorical_accuracy: 0.8755 - 630ms/epoch - 4ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.5393 - categorical_accuracy: 0.8320 - val_loss: 0.3152 - val_categorical_accuracy: 0.8891 - 660ms/epoch - 5ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.3081 - categorical_accuracy: 0.8892 - val_loss: 0.4648 - val_categorical_accuracy: 0.8273 - 630ms/epoch - 4ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.3154 - categorical_accuracy: 0.8890 - val_loss: 0.3149 - val_categorical_accuracy: 0.8894 - 630ms/epoch - 4ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2860 - categorical_accuracy: 0.8969 - val_loss: 0.2812 - val_categorical_accuracy: 0.9007 - 630ms/epoch - 4ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.2855 - categorical_accuracy: 0.8985 - val_loss: 0.3300 - val_categorical_accuracy: 0.8828 - 630ms/epoch - 4ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2759 - categorical_accuracy: 0.9018 - val_loss: 0.2777 - val_categorical_accuracy: 0.9003 - 630ms/epoch - 4ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2683 - categorical_accuracy: 0.9044 - val_loss: 0.3056 - val_categorical_accuracy: 0.8883 - 630ms/epoch - 4ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.2649 - categorical_accuracy: 0.9063 - val_loss: 0.2975 - val_categorical_accuracy: 0.8915 - 630ms/epoch - 4ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.3485 - categorical_accuracy: 0.8867 - val_loss: 0.3090 - val_categorical_accuracy: 0.8899 - 630ms/epoch - 4ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2466 - categorical_accuracy: 0.9126 - val_loss: 0.2625 - val_categorical_accuracy: 0.9066 - 650ms/epoch - 5ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2490 - categorical_accuracy: 0.9122 - val_loss: 0.3186 - val_categorical_accuracy: 0.8850 - 630ms/epoch - 4ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2507 - categorical_accuracy: 0.9119 - val_loss: 0.2695 - val_categorical_accuracy: 0.9029 - 650ms/epoch - 5ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2471 - categorical_accuracy: 0.9132 - val_loss: 0.3007 - val_categorical_accuracy: 0.8913 - 650ms/epoch - 5ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2341 - categorical_accuracy: 0.9172 - val_loss: 0.2472 - val_categorical_accuracy: 0.9116 - 650ms/epoch - 5ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2265 - categorical_accuracy: 0.9196 - val_loss: 0.2227 - val_categorical_accuracy: 0.9230 - 640ms/epoch - 5ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2533 - categorical_accuracy: 0.9139 - val_loss: 0.2573 - val_categorical_accuracy: 0.9093 - 630ms/epoch - 4ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2175 - categorical_accuracy: 0.9231 - val_loss: 0.3274 - val_categorical_accuracy: 0.8870 - 630ms/epoch - 4ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2481 - categorical_accuracy: 0.9157 - val_loss: 0.3276 - val_categorical_accuracy: 0.8856 - 630ms/epoch - 4ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2164 - categorical_accuracy: 0.9237 - val_loss: 0.2389 - val_categorical_accuracy: 0.9173 - 630ms/epoch - 4ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2190 - categorical_accuracy: 0.9243 - val_loss: 0.2544 - val_categorical_accuracy: 0.9082 - 630ms/epoch - 4ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.2057 - categorical_accuracy: 0.9275 - val_loss: 0.2372 - val_categorical_accuracy: 0.9157 - 630ms/epoch - 4ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.2007 - categorical_accuracy: 0.9292 - val_loss: 0.2495 - val_categorical_accuracy: 0.9140 - 630ms/epoch - 4ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2021 - categorical_accuracy: 0.9290 - val_loss: 0.2304 - val_categorical_accuracy: 0.9182 - 800ms/epoch - 6ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.1916 - categorical_accuracy: 0.9327 - val_loss: 0.2124 - val_categorical_accuracy: 0.9252 - 630ms/epoch - 4ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.4139 - categorical_accuracy: 0.8819 - val_loss: 0.4667 - val_categorical_accuracy: 0.8426 - 630ms/epoch - 4ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.2219 - categorical_accuracy: 0.9240 - val_loss: 0.2315 - val_categorical_accuracy: 0.9204 - 640ms/epoch - 5ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.1923 - categorical_accuracy: 0.9333 - val_loss: 0.2226 - val_categorical_accuracy: 0.9227 - 640ms/epoch - 5ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.1845 - categorical_accuracy: 0.9358 - val_loss: 0.2170 - val_categorical_accuracy: 0.9263 - 630ms/epoch - 4ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.2341 - categorical_accuracy: 0.9256 - val_loss: 0.2814 - val_categorical_accuracy: 0.8972 - 630ms/epoch - 4ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.1821 - categorical_accuracy: 0.9358 - val_loss: 0.2041 - val_categorical_accuracy: 0.9301 - 630ms/epoch - 4ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.1761 - categorical_accuracy: 0.9390 - val_loss: 0.2099 - val_categorical_accuracy: 0.9251 - 640ms/epoch - 5ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.1749 - categorical_accuracy: 0.9395 - val_loss: 0.2169 - val_categorical_accuracy: 0.9258 - 630ms/epoch - 4ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1681 - categorical_accuracy: 0.9415 - val_loss: 0.3133 - val_categorical_accuracy: 0.8931 - 630ms/epoch - 4ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.1685 - categorical_accuracy: 0.9406 - val_loss: 0.3110 - val_categorical_accuracy: 0.8960 - 640ms/epoch - 5ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.2181 - categorical_accuracy: 0.9311 - val_loss: 0.2363 - val_categorical_accuracy: 0.9159 - 630ms/epoch - 4ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1911 - categorical_accuracy: 0.9359 - val_loss: 0.1931 - val_categorical_accuracy: 0.9325 - 640ms/epoch - 5ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1646 - categorical_accuracy: 0.9426 - val_loss: 0.1873 - val_categorical_accuracy: 0.9359 - 630ms/epoch - 4ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1756 - categorical_accuracy: 0.9402 - val_loss: 0.2432 - val_categorical_accuracy: 0.9122 - 640ms/epoch - 5ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.1589 - categorical_accuracy: 0.9447 - val_loss: 0.2068 - val_categorical_accuracy: 0.9272 - 640ms/epoch - 5ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1632 - categorical_accuracy: 0.9448 - val_loss: 0.1840 - val_categorical_accuracy: 0.9372 - 630ms/epoch - 4ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.1527 - categorical_accuracy: 0.9469 - val_loss: 0.1941 - val_categorical_accuracy: 0.9329 - 630ms/epoch - 4ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1631 - categorical_accuracy: 0.9438 - val_loss: 0.1927 - val_categorical_accuracy: 0.9323 - 630ms/epoch - 4ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1563 - categorical_accuracy: 0.9456 - val_loss: 0.2289 - val_categorical_accuracy: 0.9172 - 640ms/epoch - 5ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1524 - categorical_accuracy: 0.9470 - val_loss: 0.1806 - val_categorical_accuracy: 0.9394 - 630ms/epoch - 4ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1570 - categorical_accuracy: 0.9463 - val_loss: 0.1896 - val_categorical_accuracy: 0.9341 - 640ms/epoch - 5ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1510 - categorical_accuracy: 0.9479 - val_loss: 0.2049 - val_categorical_accuracy: 0.9295 - 630ms/epoch - 4ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.2021 - categorical_accuracy: 0.9353 - val_loss: 0.2069 - val_categorical_accuracy: 0.9281 - 630ms/epoch - 4ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1551 - categorical_accuracy: 0.9481 - val_loss: 0.2086 - val_categorical_accuracy: 0.9258 - 630ms/epoch - 4ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1379 - categorical_accuracy: 0.9527 - val_loss: 0.2350 - val_categorical_accuracy: 0.9191 - 630ms/epoch - 4ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1399 - categorical_accuracy: 0.9513 - val_loss: 0.1939 - val_categorical_accuracy: 0.9331 - 640ms/epoch - 5ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1805 - categorical_accuracy: 0.9405 - val_loss: 0.1961 - val_categorical_accuracy: 0.9348 - 630ms/epoch - 4ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1315 - categorical_accuracy: 0.9552 - val_loss: 0.1747 - val_categorical_accuracy: 0.9391 - 630ms/epoch - 4ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1666 - categorical_accuracy: 0.9465 - val_loss: 0.1881 - val_categorical_accuracy: 0.9346 - 630ms/epoch - 4ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1384 - categorical_accuracy: 0.9528 - val_loss: 0.2365 - val_categorical_accuracy: 0.9181 - 640ms/epoch - 5ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1322 - categorical_accuracy: 0.9545 - val_loss: 0.1875 - val_categorical_accuracy: 0.9370 - 640ms/epoch - 5ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.1271 - categorical_accuracy: 0.9565 - val_loss: 0.1883 - val_categorical_accuracy: 0.9390 - 630ms/epoch - 4ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1399 - categorical_accuracy: 0.9522 - val_loss: 0.1957 - val_categorical_accuracy: 0.9334 - 630ms/epoch - 4ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1540 - categorical_accuracy: 0.9487 - val_loss: 0.1792 - val_categorical_accuracy: 0.9407 - 630ms/epoch - 4ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1768 - categorical_accuracy: 0.9453 - val_loss: 0.1717 - val_categorical_accuracy: 0.9430 - 640ms/epoch - 5ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1214 - categorical_accuracy: 0.9581 - val_loss: 0.1716 - val_categorical_accuracy: 0.9432 - 630ms/epoch - 4ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1274 - categorical_accuracy: 0.9561 - val_loss: 0.2500 - val_categorical_accuracy: 0.9224 - 630ms/epoch - 4ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1422 - categorical_accuracy: 0.9517 - val_loss: 0.2841 - val_categorical_accuracy: 0.9095 - 630ms/epoch - 4ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1417 - categorical_accuracy: 0.9528 - val_loss: 0.1873 - val_categorical_accuracy: 0.9356 - 630ms/epoch - 4ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1258 - categorical_accuracy: 0.9570 - val_loss: 0.1629 - val_categorical_accuracy: 0.9467 - 640ms/epoch - 5ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1216 - categorical_accuracy: 0.9583 - val_loss: 0.1676 - val_categorical_accuracy: 0.9448 - 640ms/epoch - 5ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1293 - categorical_accuracy: 0.9566 - val_loss: 0.1757 - val_categorical_accuracy: 0.9412 - 636ms/epoch - 5ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1214 - categorical_accuracy: 0.9589 - val_loss: 0.2630 - val_categorical_accuracy: 0.9138 - 640ms/epoch - 5ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1316 - categorical_accuracy: 0.9554 - val_loss: 0.1676 - val_categorical_accuracy: 0.9442 - 630ms/epoch - 4ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1516 - categorical_accuracy: 0.9514 - val_loss: 0.1741 - val_categorical_accuracy: 0.9413 - 630ms/epoch - 4ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.1176 - categorical_accuracy: 0.9598 - val_loss: 0.1755 - val_categorical_accuracy: 0.9410 - 640ms/epoch - 5ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1080 - categorical_accuracy: 0.9633 - val_loss: 0.2062 - val_categorical_accuracy: 0.9357 - 640ms/epoch - 5ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1162 - categorical_accuracy: 0.9597 - val_loss: 0.1757 - val_categorical_accuracy: 0.9417 - 630ms/epoch - 4ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1580 - categorical_accuracy: 0.9498 - val_loss: 0.1641 - val_categorical_accuracy: 0.9454 - 630ms/epoch - 4ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.1140 - categorical_accuracy: 0.9613 - val_loss: 0.1889 - val_categorical_accuracy: 0.9348 - 630ms/epoch - 4ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1149 - categorical_accuracy: 0.9609 - val_loss: 0.1982 - val_categorical_accuracy: 0.9362 - 640ms/epoch - 5ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1267 - categorical_accuracy: 0.9569 - val_loss: 0.1976 - val_categorical_accuracy: 0.9333 - 630ms/epoch - 4ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1233 - categorical_accuracy: 0.9584 - val_loss: 0.9075 - val_categorical_accuracy: 0.7872 - 630ms/epoch - 4ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1129 - categorical_accuracy: 0.9628 - val_loss: 0.3092 - val_categorical_accuracy: 0.8956 - 630ms/epoch - 4ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1276 - categorical_accuracy: 0.9592 - val_loss: 0.1768 - val_categorical_accuracy: 0.9396 - 630ms/epoch - 4ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1235 - categorical_accuracy: 0.9590 - val_loss: 0.1988 - val_categorical_accuracy: 0.9365 - 630ms/epoch - 4ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.6664 - categorical_accuracy: 0.7998 - val_loss: 0.4852 - val_categorical_accuracy: 0.8286 - 640ms/epoch - 5ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.2421 - categorical_accuracy: 0.9153 - val_loss: 0.2061 - val_categorical_accuracy: 0.9313 - 630ms/epoch - 4ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1395 - categorical_accuracy: 0.9517 - val_loss: 0.2075 - val_categorical_accuracy: 0.9292 - 630ms/epoch - 4ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1214 - categorical_accuracy: 0.9583 - val_loss: 0.2146 - val_categorical_accuracy: 0.9310 - 630ms/epoch - 4ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1252 - categorical_accuracy: 0.9568 - val_loss: 0.1641 - val_categorical_accuracy: 0.9456 - 630ms/epoch - 4ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1132 - categorical_accuracy: 0.9610 - val_loss: 0.1696 - val_categorical_accuracy: 0.9431 - 640ms/epoch - 5ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1094 - categorical_accuracy: 0.9629 - val_loss: 0.1600 - val_categorical_accuracy: 0.9487 - 630ms/epoch - 4ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1313 - categorical_accuracy: 0.9564 - val_loss: 0.1639 - val_categorical_accuracy: 0.9460 - 640ms/epoch - 5ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1062 - categorical_accuracy: 0.9638 - val_loss: 0.1896 - val_categorical_accuracy: 0.9396 - 640ms/epoch - 5ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1043 - categorical_accuracy: 0.9644 - val_loss: 0.1697 - val_categorical_accuracy: 0.9468 - 640ms/epoch - 5ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1217 - categorical_accuracy: 0.9596 - val_loss: 0.1639 - val_categorical_accuracy: 0.9474 - 630ms/epoch - 4ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1181 - categorical_accuracy: 0.9604 - val_loss: 0.1624 - val_categorical_accuracy: 0.9457 - 630ms/epoch - 4ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1163 - categorical_accuracy: 0.9610 - val_loss: 0.1681 - val_categorical_accuracy: 0.9441 - 630ms/epoch - 4ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.0978 - categorical_accuracy: 0.9667 - val_loss: 0.1962 - val_categorical_accuracy: 0.9397 - 640ms/epoch - 5ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.1553 - categorical_accuracy: 0.9527 - val_loss: 0.2155 - val_categorical_accuracy: 0.9284 - 640ms/epoch - 5ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1029 - categorical_accuracy: 0.9652 - val_loss: 0.1850 - val_categorical_accuracy: 0.9418 - 640ms/epoch - 5ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.0964 - categorical_accuracy: 0.9673 - val_loss: 0.1749 - val_categorical_accuracy: 0.9455 - 630ms/epoch - 4ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1163 - categorical_accuracy: 0.9611 - val_loss: 0.1601 - val_categorical_accuracy: 0.9469 - 630ms/epoch - 4ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.0942 - categorical_accuracy: 0.9679 - val_loss: 0.1892 - val_categorical_accuracy: 0.9404 - 630ms/epoch - 4ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0918 - categorical_accuracy: 0.9683 - val_loss: 0.1618 - val_categorical_accuracy: 0.9498 - 640ms/epoch - 5ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.2570 - categorical_accuracy: 0.9259 - val_loss: 0.1601 - val_categorical_accuracy: 0.9472 - 630ms/epoch - 4ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.0930 - categorical_accuracy: 0.9686 - val_loss: 0.1644 - val_categorical_accuracy: 0.9476 - 640ms/epoch - 5ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0959 - categorical_accuracy: 0.9673 - val_loss: 0.2280 - val_categorical_accuracy: 0.9302 - 630ms/epoch - 4ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.0940 - categorical_accuracy: 0.9674 - val_loss: 0.1736 - val_categorical_accuracy: 0.9439 - 640ms/epoch - 5ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.0916 - categorical_accuracy: 0.9689 - val_loss: 0.4657 - val_categorical_accuracy: 0.8662 - 640ms/epoch - 5ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1337 - categorical_accuracy: 0.9593 - val_loss: 0.1591 - val_categorical_accuracy: 0.9492 - 650ms/epoch - 5ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0878 - categorical_accuracy: 0.9702 - val_loss: 0.1886 - val_categorical_accuracy: 0.9438 - 650ms/epoch - 5ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0946 - categorical_accuracy: 0.9677 - val_loss: 0.2407 - val_categorical_accuracy: 0.9296 - 640ms/epoch - 5ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1158 - categorical_accuracy: 0.9633 - val_loss: 0.1914 - val_categorical_accuracy: 0.9382 - 630ms/epoch - 4ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0928 - categorical_accuracy: 0.9685 - val_loss: 0.1856 - val_categorical_accuracy: 0.9430 - 640ms/epoch - 5ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1274 - categorical_accuracy: 0.9601 - val_loss: 0.1544 - val_categorical_accuracy: 0.9526 - 640ms/epoch - 5ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.0871 - categorical_accuracy: 0.9707 - val_loss: 0.1555 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0961 - categorical_accuracy: 0.9675 - val_loss: 0.1721 - val_categorical_accuracy: 0.9446 - 630ms/epoch - 4ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1092 - categorical_accuracy: 0.9647 - val_loss: 0.1558 - val_categorical_accuracy: 0.9521 - 640ms/epoch - 5ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9708 - val_loss: 0.1588 - val_categorical_accuracy: 0.9500 - 630ms/epoch - 4ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.1074 - categorical_accuracy: 0.9651 - val_loss: 0.1766 - val_categorical_accuracy: 0.9447 - 630ms/epoch - 4ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0858 - categorical_accuracy: 0.9708 - val_loss: 0.1639 - val_categorical_accuracy: 0.9499 - 630ms/epoch - 4ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0837 - categorical_accuracy: 0.9713 - val_loss: 0.1704 - val_categorical_accuracy: 0.9480 - 630ms/epoch - 4ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0808 - categorical_accuracy: 0.9724 - val_loss: 0.1876 - val_categorical_accuracy: 0.9450 - 640ms/epoch - 5ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.1175 - categorical_accuracy: 0.9618 - val_loss: 0.1839 - val_categorical_accuracy: 0.9413 - 630ms/epoch - 4ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.0823 - categorical_accuracy: 0.9719 - val_loss: 0.1795 - val_categorical_accuracy: 0.9446 - 630ms/epoch - 4ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0873 - categorical_accuracy: 0.9698 - val_loss: 0.1657 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9717 - val_loss: 0.1794 - val_categorical_accuracy: 0.9443 - 640ms/epoch - 5ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0822 - categorical_accuracy: 0.9718 - val_loss: 0.1532 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.1098 - categorical_accuracy: 0.9641 - val_loss: 0.1787 - val_categorical_accuracy: 0.9438 - 630ms/epoch - 4ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9725 - val_loss: 0.1668 - val_categorical_accuracy: 0.9497 - 640ms/epoch - 5ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0762 - categorical_accuracy: 0.9744 - val_loss: 0.1617 - val_categorical_accuracy: 0.9530 - 640ms/epoch - 5ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.1019 - categorical_accuracy: 0.9670 - val_loss: 0.1647 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9731 - val_loss: 0.1590 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9693 - val_loss: 0.1696 - val_categorical_accuracy: 0.9476 - 640ms/epoch - 5ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.1307 - categorical_accuracy: 0.9595 - val_loss: 0.1570 - val_categorical_accuracy: 0.9518 - 630ms/epoch - 4ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9741 - val_loss: 0.1763 - val_categorical_accuracy: 0.9464 - 640ms/epoch - 5ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9731 - val_loss: 0.1774 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.5296 - categorical_accuracy: 0.8394 - val_loss: 0.3128 - val_categorical_accuracy: 0.8928 - 630ms/epoch - 4ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.1736 - categorical_accuracy: 0.9391 - val_loss: 0.1853 - val_categorical_accuracy: 0.9392 - 640ms/epoch - 5ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.1096 - categorical_accuracy: 0.9622 - val_loss: 0.1782 - val_categorical_accuracy: 0.9450 - 640ms/epoch - 5ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0981 - categorical_accuracy: 0.9661 - val_loss: 0.1632 - val_categorical_accuracy: 0.9492 - 630ms/epoch - 4ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9695 - val_loss: 0.1720 - val_categorical_accuracy: 0.9493 - 630ms/epoch - 4ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.0874 - categorical_accuracy: 0.9696 - val_loss: 0.1662 - val_categorical_accuracy: 0.9476 - 640ms/epoch - 5ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9705 - val_loss: 0.1535 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.1344 - categorical_accuracy: 0.9594 - val_loss: 0.1586 - val_categorical_accuracy: 0.9511 - 630ms/epoch - 4ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.0808 - categorical_accuracy: 0.9721 - val_loss: 0.1800 - val_categorical_accuracy: 0.9455 - 640ms/epoch - 5ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.1002 - categorical_accuracy: 0.9669 - val_loss: 0.1469 - val_categorical_accuracy: 0.9548 - 640ms/epoch - 5ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.0781 - categorical_accuracy: 0.9738 - val_loss: 0.1608 - val_categorical_accuracy: 0.9501 - 640ms/epoch - 5ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9738 - val_loss: 0.1513 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0829 - categorical_accuracy: 0.9717 - val_loss: 0.1544 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0806 - categorical_accuracy: 0.9723 - val_loss: 0.1634 - val_categorical_accuracy: 0.9529 - 640ms/epoch - 5ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0795 - categorical_accuracy: 0.9728 - val_loss: 0.1644 - val_categorical_accuracy: 0.9504 - 630ms/epoch - 4ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9741 - val_loss: 0.1587 - val_categorical_accuracy: 0.9543 - 640ms/epoch - 5ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.1081 - categorical_accuracy: 0.9666 - val_loss: 0.1625 - val_categorical_accuracy: 0.9497 - 640ms/epoch - 5ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0778 - categorical_accuracy: 0.9736 - val_loss: 0.1645 - val_categorical_accuracy: 0.9498 - 630ms/epoch - 4ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9747 - val_loss: 0.2590 - val_categorical_accuracy: 0.9240 - 630ms/epoch - 4ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.1078 - categorical_accuracy: 0.9667 - val_loss: 0.1593 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0760 - categorical_accuracy: 0.9741 - val_loss: 0.1875 - val_categorical_accuracy: 0.9416 - 640ms/epoch - 5ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9715 - val_loss: 0.1654 - val_categorical_accuracy: 0.9527 - 640ms/epoch - 5ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0925 - categorical_accuracy: 0.9700 - val_loss: 0.1703 - val_categorical_accuracy: 0.9465 - 630ms/epoch - 4ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9762 - val_loss: 0.1543 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0861 - categorical_accuracy: 0.9713 - val_loss: 0.1580 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0707 - categorical_accuracy: 0.9758 - val_loss: 0.1722 - val_categorical_accuracy: 0.9491 - 630ms/epoch - 4ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0710 - categorical_accuracy: 0.9758 - val_loss: 0.1774 - val_categorical_accuracy: 0.9484 - 630ms/epoch - 4ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9749 - val_loss: 0.1594 - val_categorical_accuracy: 0.9551 - 632ms/epoch - 4ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.0734 - categorical_accuracy: 0.9750 - val_loss: 0.1589 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.1349 - categorical_accuracy: 0.9607 - val_loss: 0.1708 - val_categorical_accuracy: 0.9503 - 630ms/epoch - 4ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0694 - categorical_accuracy: 0.9763 - val_loss: 0.1720 - val_categorical_accuracy: 0.9483 - 640ms/epoch - 5ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0703 - categorical_accuracy: 0.9759 - val_loss: 0.1626 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0728 - categorical_accuracy: 0.9750 - val_loss: 0.1614 - val_categorical_accuracy: 0.9548 - 640ms/epoch - 5ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9761 - val_loss: 0.1776 - val_categorical_accuracy: 0.9505 - 630ms/epoch - 4ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0687 - categorical_accuracy: 0.9763 - val_loss: 0.1627 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0672 - categorical_accuracy: 0.9768 - val_loss: 0.2548 - val_categorical_accuracy: 0.9303 - 630ms/epoch - 4ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.1685 - categorical_accuracy: 0.9534 - val_loss: 0.1801 - val_categorical_accuracy: 0.9430 - 630ms/epoch - 4ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9748 - val_loss: 0.1520 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0707 - categorical_accuracy: 0.9757 - val_loss: 0.1919 - val_categorical_accuracy: 0.9449 - 630ms/epoch - 4ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0667 - categorical_accuracy: 0.9772 - val_loss: 0.2012 - val_categorical_accuracy: 0.9388 - 630ms/epoch - 4ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0864 - categorical_accuracy: 0.9718 - val_loss: 0.1575 - val_categorical_accuracy: 0.9539 - 640ms/epoch - 5ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0689 - categorical_accuracy: 0.9763 - val_loss: 0.1693 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.0649 - categorical_accuracy: 0.9781 - val_loss: 0.1685 - val_categorical_accuracy: 0.9519 - 640ms/epoch - 5ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.1163 - categorical_accuracy: 0.9658 - val_loss: 0.1613 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0737 - categorical_accuracy: 0.9749 - val_loss: 0.1610 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9781 - val_loss: 0.1899 - val_categorical_accuracy: 0.9474 - 630ms/epoch - 4ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0851 - categorical_accuracy: 0.9726 - val_loss: 0.1610 - val_categorical_accuracy: 0.9516 - 630ms/epoch - 4ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0659 - categorical_accuracy: 0.9776 - val_loss: 0.1536 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.0936 - categorical_accuracy: 0.9702 - val_loss: 0.1760 - val_categorical_accuracy: 0.9466 - 630ms/epoch - 4ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9775 - val_loss: 0.1532 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.0641 - categorical_accuracy: 0.9780 - val_loss: 0.1587 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9784 - val_loss: 0.1631 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0976 - categorical_accuracy: 0.9711 - val_loss: 0.4623 - val_categorical_accuracy: 0.8579 - 630ms/epoch - 4ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0760 - categorical_accuracy: 0.9743 - val_loss: 0.1462 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9790 - val_loss: 0.1591 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0702 - categorical_accuracy: 0.9759 - val_loss: 0.1680 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9700 - val_loss: 0.1727 - val_categorical_accuracy: 0.9470 - 630ms/epoch - 4ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0663 - categorical_accuracy: 0.9775 - val_loss: 0.1586 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9792 - val_loss: 0.1506 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0635 - categorical_accuracy: 0.9780 - val_loss: 0.1637 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0650 - categorical_accuracy: 0.9777 - val_loss: 0.1747 - val_categorical_accuracy: 0.9495 - 630ms/epoch - 4ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0671 - categorical_accuracy: 0.9769 - val_loss: 0.1766 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0910 - categorical_accuracy: 0.9716 - val_loss: 0.1516 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0922 - categorical_accuracy: 0.9719 - val_loss: 0.2131 - val_categorical_accuracy: 0.9308 - 630ms/epoch - 4ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9777 - val_loss: 0.1860 - val_categorical_accuracy: 0.9461 - 650ms/epoch - 5ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9783 - val_loss: 0.1498 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.0720 - categorical_accuracy: 0.9758 - val_loss: 0.2000 - val_categorical_accuracy: 0.9447 - 630ms/epoch - 4ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9774 - val_loss: 0.1684 - val_categorical_accuracy: 0.9521 - 650ms/epoch - 5ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0903 - categorical_accuracy: 0.9717 - val_loss: 0.1426 - val_categorical_accuracy: 0.9601 - 660ms/epoch - 5ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9802 - val_loss: 0.1608 - val_categorical_accuracy: 0.9571 - 650ms/epoch - 5ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0616 - categorical_accuracy: 0.9788 - val_loss: 0.1609 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9790 - val_loss: 0.1797 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.1216 - categorical_accuracy: 0.9649 - val_loss: 0.1738 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0653 - categorical_accuracy: 0.9780 - val_loss: 0.1526 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0626 - categorical_accuracy: 0.9788 - val_loss: 0.1716 - val_categorical_accuracy: 0.9521 - 630ms/epoch - 4ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9791 - val_loss: 0.1650 - val_categorical_accuracy: 0.9548 - 640ms/epoch - 5ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9790 - val_loss: 0.1690 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9793 - val_loss: 0.1796 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9776 - val_loss: 0.1605 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9796 - val_loss: 0.1691 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0795 - categorical_accuracy: 0.9755 - val_loss: 0.9042 - val_categorical_accuracy: 0.7925 - 630ms/epoch - 4ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0761 - categorical_accuracy: 0.9748 - val_loss: 0.1744 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9789 - val_loss: 0.1524 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.0763 - categorical_accuracy: 0.9754 - val_loss: 0.2870 - val_categorical_accuracy: 0.9114 - 630ms/epoch - 4ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9784 - val_loss: 0.1854 - val_categorical_accuracy: 0.9494 - 630ms/epoch - 4ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0583 - categorical_accuracy: 0.9800 - val_loss: 0.1683 - val_categorical_accuracy: 0.9548 - 650ms/epoch - 5ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0712 - categorical_accuracy: 0.9760 - val_loss: 0.1811 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9705 - val_loss: 0.1523 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0569 - categorical_accuracy: 0.9806 - val_loss: 0.1675 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9798 - val_loss: 0.2381 - val_categorical_accuracy: 0.9408 - 630ms/epoch - 4ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9784 - val_loss: 0.1615 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0966 - categorical_accuracy: 0.9713 - val_loss: 0.1581 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9794 - val_loss: 0.1553 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0577 - categorical_accuracy: 0.9801 - val_loss: 0.2769 - val_categorical_accuracy: 0.9310 - 630ms/epoch - 4ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0590 - categorical_accuracy: 0.9799 - val_loss: 0.1541 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9797 - val_loss: 0.1694 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9799 - val_loss: 0.1577 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9799 - val_loss: 0.2141 - val_categorical_accuracy: 0.9480 - 630ms/epoch - 4ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9794 - val_loss: 0.1616 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9808 - val_loss: 0.1838 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9789 - val_loss: 0.1615 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.1009 - categorical_accuracy: 0.9699 - val_loss: 0.1582 - val_categorical_accuracy: 0.9524 - 630ms/epoch - 4ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9803 - val_loss: 0.1518 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9810 - val_loss: 0.1569 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9806 - val_loss: 0.1573 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0990 - categorical_accuracy: 0.9708 - val_loss: 0.1781 - val_categorical_accuracy: 0.9451 - 630ms/epoch - 4ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9792 - val_loss: 0.1548 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0884 - categorical_accuracy: 0.9717 - val_loss: 0.1609 - val_categorical_accuracy: 0.9533 - 640ms/epoch - 5ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9806 - val_loss: 0.1604 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9808 - val_loss: 0.1694 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9808 - val_loss: 0.1632 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9809 - val_loss: 0.1631 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9802 - val_loss: 0.1672 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9806 - val_loss: 0.1663 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9801 - val_loss: 0.1937 - val_categorical_accuracy: 0.9464 - 630ms/epoch - 4ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.2119 - categorical_accuracy: 0.9413 - val_loss: 0.1750 - val_categorical_accuracy: 0.9513 - 630ms/epoch - 4ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9806 - val_loss: 0.1603 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9809 - val_loss: 0.1633 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9807 - val_loss: 0.1610 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9813 - val_loss: 0.2155 - val_categorical_accuracy: 0.9389 - 630ms/epoch - 4ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.1229 - categorical_accuracy: 0.9654 - val_loss: 0.1532 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.0544 - categorical_accuracy: 0.9813 - val_loss: 0.1568 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9813 - val_loss: 0.1717 - val_categorical_accuracy: 0.9536 - 632ms/epoch - 4ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9808 - val_loss: 0.2049 - val_categorical_accuracy: 0.9454 - 630ms/epoch - 4ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0744 - categorical_accuracy: 0.9754 - val_loss: 0.1491 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0538 - categorical_accuracy: 0.9814 - val_loss: 0.1689 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0606 - categorical_accuracy: 0.9791 - val_loss: 0.1591 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9729 - val_loss: 0.1639 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9814 - val_loss: 0.1657 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9816 - val_loss: 0.1802 - val_categorical_accuracy: 0.9552 - 640ms/epoch - 5ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0774 - categorical_accuracy: 0.9749 - val_loss: 0.1697 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9812 - val_loss: 0.1640 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0915 - categorical_accuracy: 0.9722 - val_loss: 0.1543 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9816 - val_loss: 0.1607 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9819 - val_loss: 0.1524 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9803 - val_loss: 0.1635 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9807 - val_loss: 0.1654 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.1405 - categorical_accuracy: 0.9606 - val_loss: 0.1563 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9809 - val_loss: 0.1511 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0768 - categorical_accuracy: 0.9757 - val_loss: 0.1563 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9820 - val_loss: 0.1569 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9817 - val_loss: 0.1729 - val_categorical_accuracy: 0.9524 - 630ms/epoch - 4ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0807 - categorical_accuracy: 0.9746 - val_loss: 0.1516 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9821 - val_loss: 0.1614 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9820 - val_loss: 0.1679 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9819 - val_loss: 0.1655 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0819 - categorical_accuracy: 0.9743 - val_loss: 0.1568 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9815 - val_loss: 0.1678 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9823 - val_loss: 0.1753 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9816 - val_loss: 0.1609 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.0828 - categorical_accuracy: 0.9739 - val_loss: 0.1552 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0517 - categorical_accuracy: 0.9821 - val_loss: 0.1777 - val_categorical_accuracy: 0.9539 - 640ms/epoch - 5ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9803 - val_loss: 0.1738 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0509 - categorical_accuracy: 0.9822 - val_loss: 0.1564 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9823 - val_loss: 0.1717 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9814 - val_loss: 0.3772 - val_categorical_accuracy: 0.9134 - 630ms/epoch - 4ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0744 - categorical_accuracy: 0.9764 - val_loss: 0.1687 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9819 - val_loss: 0.1968 - val_categorical_accuracy: 0.9497 - 630ms/epoch - 4ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9816 - val_loss: 0.1907 - val_categorical_accuracy: 0.9521 - 630ms/epoch - 4ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9807 - val_loss: 0.4966 - val_categorical_accuracy: 0.8872 - 640ms/epoch - 5ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0791 - categorical_accuracy: 0.9754 - val_loss: 0.1531 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0530 - categorical_accuracy: 0.9820 - val_loss: 0.1900 - val_categorical_accuracy: 0.9516 - 630ms/epoch - 4ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9825 - val_loss: 0.1688 - val_categorical_accuracy: 0.9573 - 650ms/epoch - 5ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9817 - val_loss: 0.1797 - val_categorical_accuracy: 0.9535 - 640ms/epoch - 5ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9817 - val_loss: 0.1805 - val_categorical_accuracy: 0.9522 - 650ms/epoch - 5ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9818 - val_loss: 0.1633 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9808 - val_loss: 0.1677 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9824 - val_loss: 0.1671 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9823 - val_loss: 0.1682 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9810 - val_loss: 0.1700 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.1157 - categorical_accuracy: 0.9670 - val_loss: 0.1770 - val_categorical_accuracy: 0.9494 - 630ms/epoch - 4ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9811 - val_loss: 0.1571 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0506 - categorical_accuracy: 0.9821 - val_loss: 0.1595 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9825 - val_loss: 0.1694 - val_categorical_accuracy: 0.9577 - 660ms/epoch - 5ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9827 - val_loss: 0.1795 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0798 - categorical_accuracy: 0.9757 - val_loss: 0.1867 - val_categorical_accuracy: 0.9429 - 630ms/epoch - 4ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9810 - val_loss: 0.1801 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0505 - categorical_accuracy: 0.9824 - val_loss: 0.1586 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1704 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9821 - val_loss: 0.1727 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9825 - val_loss: 0.1708 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0515 - categorical_accuracy: 0.9820 - val_loss: 0.1753 - val_categorical_accuracy: 0.9564 - 640ms/epoch - 5ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9820 - val_loss: 0.1894 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0830 - categorical_accuracy: 0.9741 - val_loss: 0.1581 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9831 - val_loss: 0.1853 - val_categorical_accuracy: 0.9542 - 640ms/epoch - 5ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9827 - val_loss: 0.1833 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9826 - val_loss: 0.1684 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9825 - val_loss: 0.1780 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9825 - val_loss: 0.1652 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9830 - val_loss: 0.1725 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9826 - val_loss: 0.1753 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.1170 - categorical_accuracy: 0.9670 - val_loss: 0.1590 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9834 - val_loss: 0.1699 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9825 - val_loss: 0.1659 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.1861 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9823 - val_loss: 0.1687 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0619 - categorical_accuracy: 0.9789 - val_loss: 0.1731 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0496 - categorical_accuracy: 0.9827 - val_loss: 0.1786 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9827 - val_loss: 0.1955 - val_categorical_accuracy: 0.9516 - 640ms/epoch - 5ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0524 - categorical_accuracy: 0.9817 - val_loss: 0.1735 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9836 - val_loss: 0.1730 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9813 - val_loss: 0.1677 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9828 - val_loss: 0.1796 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9816 - val_loss: 0.1943 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9825 - val_loss: 0.1890 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9830 - val_loss: 0.1788 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0518 - categorical_accuracy: 0.9817 - val_loss: 0.2060 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9829 - val_loss: 0.1767 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9822 - val_loss: 0.1828 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0529 - categorical_accuracy: 0.9813 - val_loss: 0.1969 - val_categorical_accuracy: 0.9506 - 630ms/epoch - 4ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0888 - categorical_accuracy: 0.9737 - val_loss: 0.1820 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9836 - val_loss: 0.1742 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.1017 - categorical_accuracy: 0.9707 - val_loss: 0.1663 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0522 - categorical_accuracy: 0.9821 - val_loss: 0.1734 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0471 - categorical_accuracy: 0.9834 - val_loss: 0.1729 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9814 - val_loss: 0.1674 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.1722 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9831 - val_loss: 0.1645 - val_categorical_accuracy: 0.9619 - 642ms/epoch - 5ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9832 - val_loss: 0.1855 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0991 - categorical_accuracy: 0.9714 - val_loss: 0.1610 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.0479 - categorical_accuracy: 0.9833 - val_loss: 0.1596 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.1685 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9828 - val_loss: 0.1742 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.1672 - val_categorical_accuracy: 0.9589 - 635ms/epoch - 5ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.1667 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0894 - categorical_accuracy: 0.9733 - val_loss: 0.1748 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9836 - val_loss: 0.2055 - val_categorical_accuracy: 0.9454 - 630ms/epoch - 4ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9830 - val_loss: 0.1907 - val_categorical_accuracy: 0.9515 - 630ms/epoch - 4ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9830 - val_loss: 0.1617 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9841 - val_loss: 0.2054 - val_categorical_accuracy: 0.9479 - 630ms/epoch - 4ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9759 - val_loss: 0.1636 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9839 - val_loss: 0.1638 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9839 - val_loss: 0.1756 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9819 - val_loss: 0.1708 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9838 - val_loss: 0.1705 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.1678 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9839 - val_loss: 0.1717 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9826 - val_loss: 0.3436 - val_categorical_accuracy: 0.9255 - 630ms/epoch - 4ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0968 - categorical_accuracy: 0.9719 - val_loss: 0.1662 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9836 - val_loss: 0.1720 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9839 - val_loss: 0.1705 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9840 - val_loss: 0.1722 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.1661 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9827 - val_loss: 0.1948 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9836 - val_loss: 0.1672 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9838 - val_loss: 0.1782 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9835 - val_loss: 0.1711 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9838 - val_loss: 0.2067 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9830 - val_loss: 0.1825 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0775 - categorical_accuracy: 0.9758 - val_loss: 0.1691 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9841 - val_loss: 0.1691 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.1886 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9819 - val_loss: 0.2591 - val_categorical_accuracy: 0.9346 - 630ms/epoch - 4ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9780 - val_loss: 0.1664 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9840 - val_loss: 0.1769 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.1743 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0834 - categorical_accuracy: 0.9766 - val_loss: 0.2243 - val_categorical_accuracy: 0.9309 - 630ms/epoch - 4ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0547 - categorical_accuracy: 0.9809 - val_loss: 0.1614 - val_categorical_accuracy: 0.9616 - 650ms/epoch - 5ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9842 - val_loss: 0.1771 - val_categorical_accuracy: 0.9594 - 660ms/epoch - 5ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0456 - categorical_accuracy: 0.9838 - val_loss: 0.1674 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.1741 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9842 - val_loss: 0.1850 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9820 - val_loss: 0.1728 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.1474 - categorical_accuracy: 0.9604 - val_loss: 0.1683 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0541 - categorical_accuracy: 0.9815 - val_loss: 0.1703 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9842 - val_loss: 0.1770 - val_categorical_accuracy: 0.9571 - 640ms/epoch - 5ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9839 - val_loss: 0.1792 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9839 - val_loss: 0.1663 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9844 - val_loss: 0.1724 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9839 - val_loss: 0.1746 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.1753 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9842 - val_loss: 0.1892 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9835 - val_loss: 0.1829 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1661 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0896 - categorical_accuracy: 0.9737 - val_loss: 0.1750 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9835 - val_loss: 0.1702 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9841 - val_loss: 0.1668 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.1742 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9839 - val_loss: 0.1901 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9844 - val_loss: 0.1765 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9839 - val_loss: 0.1748 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9846 - val_loss: 0.1824 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.1807 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.1194 - categorical_accuracy: 0.9668 - val_loss: 0.1672 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9841 - val_loss: 0.1676 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9846 - val_loss: 0.1667 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9846 - val_loss: 0.1832 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9848 - val_loss: 0.1793 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9845 - val_loss: 0.1684 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1745 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9846 - val_loss: 0.1833 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0843 - categorical_accuracy: 0.9744 - val_loss: 0.1710 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9845 - val_loss: 0.1768 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9842 - val_loss: 0.1839 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1736 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9848 - val_loss: 0.1818 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.1697 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0760 - categorical_accuracy: 0.9765 - val_loss: 0.1674 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9846 - val_loss: 0.1947 - val_categorical_accuracy: 0.9529 - 630ms/epoch - 4ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9836 - val_loss: 0.1758 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9846 - val_loss: 0.1847 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9853 - val_loss: 0.1830 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1711 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0761 - categorical_accuracy: 0.9775 - val_loss: 0.1660 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9847 - val_loss: 0.1718 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9804 - val_loss: 0.1846 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.2046 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1816 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9800 - val_loss: 0.1704 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9841 - val_loss: 0.2025 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9842 - val_loss: 0.1705 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9849 - val_loss: 0.1708 - val_categorical_accuracy: 0.9621 - 641ms/epoch - 5ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9849 - val_loss: 0.1739 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9848 - val_loss: 0.1766 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0913 - categorical_accuracy: 0.9746 - val_loss: 0.2022 - val_categorical_accuracy: 0.9434 - 630ms/epoch - 4ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9817 - val_loss: 0.1725 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.1742 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9851 - val_loss: 0.1773 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9836 - val_loss: 0.1769 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9853 - val_loss: 0.1946 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9846 - val_loss: 0.1773 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9853 - val_loss: 0.1832 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.1868 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1956 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.2025 - val_categorical_accuracy: 0.9585 - 620ms/epoch - 4ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9795 - val_loss: 0.1761 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.1058 - categorical_accuracy: 0.9734 - val_loss: 0.4497 - val_categorical_accuracy: 0.8499 - 640ms/epoch - 5ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0692 - categorical_accuracy: 0.9760 - val_loss: 0.1649 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9847 - val_loss: 0.1777 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9852 - val_loss: 0.1716 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.1936 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9845 - val_loss: 0.1868 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9842 - val_loss: 0.1878 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.2018 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9842 - val_loss: 0.1810 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9849 - val_loss: 0.1777 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9783 - val_loss: 0.2112 - val_categorical_accuracy: 0.9477 - 630ms/epoch - 4ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9841 - val_loss: 0.1778 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9854 - val_loss: 0.1780 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.1786 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.1769 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.1797 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9848 - val_loss: 0.1809 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9849 - val_loss: 0.1753 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9845 - val_loss: 0.1793 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9847 - val_loss: 0.1843 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0859 - categorical_accuracy: 0.9746 - val_loss: 0.1644 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.1728 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9855 - val_loss: 0.1758 - val_categorical_accuracy: 0.9606 - 830ms/epoch - 6ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.1820 - val_categorical_accuracy: 0.9617 - 650ms/epoch - 5ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.1723 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1751 - val_categorical_accuracy: 0.9623 - 660ms/epoch - 5ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9853 - val_loss: 0.1824 - val_categorical_accuracy: 0.9604 - 660ms/epoch - 5ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.1800 - val_categorical_accuracy: 0.9600 - 650ms/epoch - 5ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9845 - val_loss: 0.1946 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9848 - val_loss: 0.1891 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0948 - categorical_accuracy: 0.9732 - val_loss: 0.1943 - val_categorical_accuracy: 0.9543 - 640ms/epoch - 5ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.0443 - categorical_accuracy: 0.9844 - val_loss: 0.1809 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9855 - val_loss: 0.1706 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.2394 - val_categorical_accuracy: 0.9433 - 640ms/epoch - 5ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0901 - categorical_accuracy: 0.9739 - val_loss: 0.1720 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1702 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1747 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9854 - val_loss: 0.1844 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1781 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9854 - val_loss: 0.1771 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9854 - val_loss: 0.1726 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.2616 - val_categorical_accuracy: 0.9450 - 630ms/epoch - 4ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.4637 - categorical_accuracy: 0.8628 - val_loss: 0.1966 - val_categorical_accuracy: 0.9446 - 640ms/epoch - 5ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0735 - categorical_accuracy: 0.9742 - val_loss: 0.1751 - val_categorical_accuracy: 0.9545 - 650ms/epoch - 5ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0545 - categorical_accuracy: 0.9808 - val_loss: 0.1646 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9831 - val_loss: 0.1762 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9837 - val_loss: 0.1923 - val_categorical_accuracy: 0.9543 - 640ms/epoch - 5ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9829 - val_loss: 0.1896 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9845 - val_loss: 0.1755 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0462 - categorical_accuracy: 0.9836 - val_loss: 0.1777 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.1827 - val_categorical_accuracy: 0.9613 - 650ms/epoch - 5ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9851 - val_loss: 0.1782 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9845 - val_loss: 0.1773 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1992 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9851 - val_loss: 0.1975 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9853 - val_loss: 0.1768 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9852 - val_loss: 0.1930 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0425 - categorical_accuracy: 0.9848 - val_loss: 0.2275 - val_categorical_accuracy: 0.9485 - 640ms/epoch - 5ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0904 - categorical_accuracy: 0.9738 - val_loss: 0.1868 - val_categorical_accuracy: 0.9500 - 640ms/epoch - 5ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0474 - categorical_accuracy: 0.9833 - val_loss: 0.1770 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.1832 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9853 - val_loss: 0.1736 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9856 - val_loss: 0.1908 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9839 - val_loss: 0.1877 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0728 - categorical_accuracy: 0.9788 - val_loss: 0.2057 - val_categorical_accuracy: 0.9415 - 640ms/epoch - 5ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9831 - val_loss: 0.1714 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1821 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9856 - val_loss: 0.1776 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.1828 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9856 - val_loss: 0.1809 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.1773 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.1839 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9853 - val_loss: 0.1997 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0842 - categorical_accuracy: 0.9752 - val_loss: 0.1758 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9855 - val_loss: 0.1805 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.1787 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.1952 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9848 - val_loss: 0.2065 - val_categorical_accuracy: 0.9552 - 640ms/epoch - 5ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9845 - val_loss: 0.1845 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.6722 - val_categorical_accuracy: 0.8748 - 646ms/epoch - 5ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9779 - val_loss: 0.1855 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9858 - val_loss: 0.2076 - val_categorical_accuracy: 0.9516 - 640ms/epoch - 5ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9853 - val_loss: 0.1735 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9854 - val_loss: 0.1729 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.1742 - val_categorical_accuracy: 0.9642 - 640ms/epoch - 5ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9860 - val_loss: 0.1938 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.2006 - val_categorical_accuracy: 0.9531 - 630ms/epoch - 4ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.1849 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9860 - val_loss: 0.1813 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0726 - categorical_accuracy: 0.9782 - val_loss: 0.1945 - val_categorical_accuracy: 0.9500 - 640ms/epoch - 5ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9839 - val_loss: 0.1736 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9862 - val_loss: 0.1993 - val_categorical_accuracy: 0.9546 - 640ms/epoch - 5ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1871 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.1884 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.1916 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0878 - categorical_accuracy: 0.9751 - val_loss: 0.1843 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9859 - val_loss: 0.1763 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.1813 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9856 - val_loss: 0.1971 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.1821 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.2344 - val_categorical_accuracy: 0.9495 - 630ms/epoch - 4ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0498 - categorical_accuracy: 0.9828 - val_loss: 0.1931 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.2838 - categorical_accuracy: 0.9243 - val_loss: 0.2115 - val_categorical_accuracy: 0.9370 - 640ms/epoch - 5ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0765 - categorical_accuracy: 0.9734 - val_loss: 0.1761 - val_categorical_accuracy: 0.9561 - 640ms/epoch - 5ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9829 - val_loss: 0.1714 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9848 - val_loss: 0.1746 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9853 - val_loss: 0.1737 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9857 - val_loss: 0.1748 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9853 - val_loss: 0.1788 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9857 - val_loss: 0.1968 - val_categorical_accuracy: 0.9553 - 650ms/epoch - 5ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1817 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1843 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1759 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.1965 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.2291 - val_categorical_accuracy: 0.9463 - 640ms/epoch - 5ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0609 - categorical_accuracy: 0.9796 - val_loss: 0.1802 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.1914 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9860 - val_loss: 0.2124 - val_categorical_accuracy: 0.9507 - 640ms/epoch - 5ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9859 - val_loss: 0.2035 - val_categorical_accuracy: 0.9542 - 650ms/epoch - 5ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.1236 - categorical_accuracy: 0.9656 - val_loss: 0.1822 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9859 - val_loss: 0.1683 - val_categorical_accuracy: 0.9626 - 660ms/epoch - 5ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9863 - val_loss: 0.1832 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9860 - val_loss: 0.1883 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.1895 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9861 - val_loss: 0.1934 - val_categorical_accuracy: 0.9572 - 640ms/epoch - 5ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.1858 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1906 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.2052 - val_categorical_accuracy: 0.9554 - 640ms/epoch - 5ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9857 - val_loss: 0.1863 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9855 - val_loss: 0.2075 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.1924 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1954 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9857 - val_loss: 0.1855 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.1912 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.1951 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9856 - val_loss: 0.1903 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9862 - val_loss: 0.1835 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9848 - val_loss: 0.1898 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9853 - val_loss: 0.1946 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.1933 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9855 - val_loss: 0.1866 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9857 - val_loss: 0.1959 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9850 - val_loss: 0.1879 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9861 - val_loss: 0.1961 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1886 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9857 - val_loss: 0.2036 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9866 - val_loss: 0.2001 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.1962 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.3913 - val_categorical_accuracy: 0.9220 - 640ms/epoch - 5ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.1620 - categorical_accuracy: 0.9549 - val_loss: 0.1811 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9855 - val_loss: 0.1838 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9864 - val_loss: 0.1833 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9862 - val_loss: 0.1868 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.1986 - val_categorical_accuracy: 0.9557 - 650ms/epoch - 5ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.1914 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1854 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.1835 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9864 - val_loss: 0.1874 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9862 - val_loss: 0.1858 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.1985 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2052 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1916 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.1857 - val_categorical_accuracy: 0.9639 - 640ms/epoch - 5ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9858 - val_loss: 0.2097 - val_categorical_accuracy: 0.9531 - 640ms/epoch - 5ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1915 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1956 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.1915 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0623 - categorical_accuracy: 0.9809 - val_loss: 0.1891 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9858 - val_loss: 0.1832 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2676 - val_categorical_accuracy: 0.9485 - 630ms/epoch - 4ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0869 - categorical_accuracy: 0.9749 - val_loss: 0.1889 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9854 - val_loss: 0.2141 - val_categorical_accuracy: 0.9538 - 640ms/epoch - 5ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1929 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9868 - val_loss: 0.1968 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9862 - val_loss: 0.2007 - val_categorical_accuracy: 0.9581 - 636ms/epoch - 5ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9863 - val_loss: 0.1829 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9867 - val_loss: 0.1929 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.2025 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2109 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9866 - val_loss: 0.2144 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0769 - categorical_accuracy: 0.9767 - val_loss: 0.2102 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1782 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1814 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.1777 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.1849 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.1990 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9859 - val_loss: 0.1880 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9861 - val_loss: 0.1942 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9862 - val_loss: 0.1954 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2063 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.1936 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2103 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0748 - categorical_accuracy: 0.9777 - val_loss: 0.1842 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9862 - val_loss: 0.2087 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9852 - val_loss: 0.1848 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.2036 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.1928 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1914 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9870 - val_loss: 0.1983 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2025 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.1986 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2009 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9866 - val_loss: 0.2076 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0918 - categorical_accuracy: 0.9744 - val_loss: 0.1868 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9855 - val_loss: 0.1922 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.2028 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.1895 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9863 - val_loss: 0.1962 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2081 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.1912 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1937 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.1973 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.1970 - val_categorical_accuracy: 0.9616 - 650ms/epoch - 5ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1943 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9866 - val_loss: 0.2113 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1976 - val_categorical_accuracy: 0.9617 - 660ms/epoch - 5ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1930 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2137 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1984 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0842 - categorical_accuracy: 0.9750 - val_loss: 0.1866 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9860 - val_loss: 0.1854 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2003 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.1960 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.1979 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9869 - val_loss: 0.1871 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.1988 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0692 - categorical_accuracy: 0.9794 - val_loss: 0.1866 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.1886 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.2014 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.1992 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2020 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9861 - val_loss: 0.1984 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2350 - val_categorical_accuracy: 0.9499 - 640ms/epoch - 5ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9778 - val_loss: 0.1962 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9871 - val_loss: 0.1959 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9870 - val_loss: 0.1941 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.1936 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9858 - val_loss: 0.1982 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9867 - val_loss: 0.2014 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.1940 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9762 - val_loss: 0.1796 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.1864 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.1862 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.1889 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2191 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1934 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2082 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2078 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.1994 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9865 - val_loss: 0.2082 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9869 - val_loss: 0.1984 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2043 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.1921 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2074 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2125 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.2135 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.1202 - categorical_accuracy: 0.9663 - val_loss: 0.1811 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9865 - val_loss: 0.2000 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1902 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1865 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.2006 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1988 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.1934 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.1917 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1876 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2069 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.1929 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.1991 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.1197 - categorical_accuracy: 0.9727 - val_loss: 0.5966 - val_categorical_accuracy: 0.8012 - 636ms/epoch - 5ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0889 - categorical_accuracy: 0.9696 - val_loss: 0.1837 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9865 - val_loss: 0.1873 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9869 - val_loss: 0.1854 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9873 - val_loss: 0.2002 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9872 - val_loss: 0.2023 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2052 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2110 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9870 - val_loss: 0.2058 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2027 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1892 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2153 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9868 - val_loss: 0.1957 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2000 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9869 - val_loss: 0.2060 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.1972 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2006 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.2003 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9865 - val_loss: 0.1961 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2038 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2045 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2125 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.2059 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2002 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1972 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2332 - val_categorical_accuracy: 0.9562 - 640ms/epoch - 5ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9860 - val_loss: 0.2189 - val_categorical_accuracy: 0.9549 - 640ms/epoch - 5ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0974 - categorical_accuracy: 0.9727 - val_loss: 0.1870 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2028 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.2011 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1960 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.1989 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2024 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2009 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.1467 - categorical_accuracy: 0.9610 - val_loss: 0.1802 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9861 - val_loss: 0.1812 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9873 - val_loss: 0.1874 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2035 - val_categorical_accuracy: 0.9571 - 640ms/epoch - 5ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.1921 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.1930 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2136 - val_categorical_accuracy: 0.9569 - 660ms/epoch - 5ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9866 - val_loss: 0.2033 - val_categorical_accuracy: 0.9598 - 660ms/epoch - 5ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.1922 - val_categorical_accuracy: 0.9636 - 660ms/epoch - 5ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.1951 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1966 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2072 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.2240 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9863 - val_loss: 0.1973 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.1973 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2115 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.1996 - val_categorical_accuracy: 0.9639 - 640ms/epoch - 5ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2392 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0977 - categorical_accuracy: 0.9734 - val_loss: 0.1842 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9872 - val_loss: 0.1988 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1942 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1998 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1955 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2028 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2064 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2016 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2048 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.1941 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2023 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9778 - val_loss: 0.1861 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2025 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.2001 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2108 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.1914 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.1956 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2165 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.2200 - val_categorical_accuracy: 0.9549 - 640ms/epoch - 5ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2095 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.1994 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2034 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2280 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9849 - val_loss: 0.2033 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.2150 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2437 - val_categorical_accuracy: 0.9543 - 640ms/epoch - 5ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.0859 - categorical_accuracy: 0.9762 - val_loss: 0.2061 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2050 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9870 - val_loss: 0.1956 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1905 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.1995 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2083 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.1891 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2011 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2051 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2627 - val_categorical_accuracy: 0.9463 - 640ms/epoch - 5ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.2128 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2016 - val_categorical_accuracy: 0.9642 - 630ms/epoch - 4ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2179 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2089 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2035 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2160 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.2020 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2106 - val_categorical_accuracy: 0.9598 - 642ms/epoch - 5ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2153 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.1992 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2091 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2007 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2100 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2040 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9872 - val_loss: 0.2241 - val_categorical_accuracy: 0.9565 - 640ms/epoch - 5ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2161 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2086 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2115 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.1041 - categorical_accuracy: 0.9717 - val_loss: 0.1852 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9865 - val_loss: 0.1966 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9876 - val_loss: 0.2078 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2043 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0945 - categorical_accuracy: 0.9748 - val_loss: 0.1861 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.1964 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2013 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2022 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2037 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.1905 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2090 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2018 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9871 - val_loss: 0.2269 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.1983 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2082 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2030 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.1996 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.1988 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0936 - categorical_accuracy: 0.9784 - val_loss: 0.4640 - val_categorical_accuracy: 0.8545 - 630ms/epoch - 4ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0753 - categorical_accuracy: 0.9737 - val_loss: 0.1943 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9873 - val_loss: 0.1952 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9877 - val_loss: 0.1916 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9869 - val_loss: 0.2006 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2222 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1951 - val_categorical_accuracy: 0.9632 - 630ms/epoch - 4ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9879 - val_loss: 0.2016 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2089 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2001 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2086 - val_categorical_accuracy: 0.9611 - 650ms/epoch - 5ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.1983 - val_categorical_accuracy: 0.9626 - 650ms/epoch - 5ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9868 - val_loss: 0.2233 - val_categorical_accuracy: 0.9581 - 650ms/epoch - 5ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9874 - val_loss: 0.2069 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9872 - val_loss: 0.2131 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2044 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9876 - val_loss: 0.2003 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2076 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2155 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2068 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2089 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.2148 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.1067 - categorical_accuracy: 0.9708 - val_loss: 0.2010 - val_categorical_accuracy: 0.9503 - 640ms/epoch - 5ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9851 - val_loss: 0.1953 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2042 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2077 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.1994 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2099 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.1955 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2202 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2073 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2063 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2086 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2071 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2123 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2043 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2013 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2162 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2055 - val_categorical_accuracy: 0.9641 - 630ms/epoch - 4ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2180 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2076 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9881 - val_loss: 0.2676 - val_categorical_accuracy: 0.9506 - 630ms/epoch - 4ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2107 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.2114 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2082 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9871 - val_loss: 0.1977 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2131 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2104 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2102 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2130 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2054 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9875 - val_loss: 0.2070 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2155 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2292 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0908 - categorical_accuracy: 0.9751 - val_loss: 0.2038 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.1952 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2475 - val_categorical_accuracy: 0.9506 - 630ms/epoch - 4ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.1948 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2088 - val_categorical_accuracy: 0.9642 - 640ms/epoch - 5ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2069 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2033 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2022 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9876 - val_loss: 0.2113 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2109 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2037 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.3034 - val_categorical_accuracy: 0.9417 - 630ms/epoch - 4ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2018 - val_categorical_accuracy: 0.9637 - 660ms/epoch - 5ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9874 - val_loss: 0.2274 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.2532 - val_categorical_accuracy: 0.9503 - 630ms/epoch - 4ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2070 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2101 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9780 - val_loss: 0.1912 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9872 - val_loss: 0.2043 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2125 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9874 - val_loss: 0.1969 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2080 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2248 - val_categorical_accuracy: 0.9580 - 640ms/epoch - 5ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2015 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2017 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2134 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2115 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2198 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9870 - val_loss: 0.2332 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2145 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.2216 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2175 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2147 - val_categorical_accuracy: 0.9614 - 650ms/epoch - 5ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2108 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2296 - val_categorical_accuracy: 0.9609 - 830ms/epoch - 6ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2127 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2153 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2171 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2219 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9876 - val_loss: 0.2426 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9872 - val_loss: 0.2297 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2118 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2414 - val_categorical_accuracy: 0.9532 - 640ms/epoch - 5ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.1237 - categorical_accuracy: 0.9682 - val_loss: 0.2111 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2170 - val_categorical_accuracy: 0.9575 - 640ms/epoch - 5ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2073 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2062 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2050 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2077 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9879 - val_loss: 0.2112 - val_categorical_accuracy: 0.9632 - 660ms/epoch - 5ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9878 - val_loss: 0.2037 - val_categorical_accuracy: 0.9629 - 660ms/epoch - 5ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2112 - val_categorical_accuracy: 0.9620 - 680ms/epoch - 5ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2091 - val_categorical_accuracy: 0.9601 - 660ms/epoch - 5ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2144 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2228 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2216 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2158 - val_categorical_accuracy: 0.9626 - 660ms/epoch - 5ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0984 - categorical_accuracy: 0.9733 - val_loss: 0.1951 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.1941 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2038 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9885 - val_loss: 0.2103 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2152 - val_categorical_accuracy: 0.9614 - 650ms/epoch - 5ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2162 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2051 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2203 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2164 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2114 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9881 - val_loss: 0.2233 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2167 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2254 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2118 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2187 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2105 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2550 - val_categorical_accuracy: 0.9543 - 640ms/epoch - 5ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2184 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2213 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2184 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2088 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2102 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2125 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2107 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2183 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2152 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2233 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2410 - val_categorical_accuracy: 0.9571 - 640ms/epoch - 5ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2132 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2242 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2220 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2168 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2251 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9879 - val_loss: 0.2195 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2222 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2328 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2574 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.1501 - categorical_accuracy: 0.9600 - val_loss: 0.2058 - val_categorical_accuracy: 0.9551 - 640ms/epoch - 5ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0389 - categorical_accuracy: 0.9861 - val_loss: 0.1961 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.1979 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2126 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2040 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2246 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2207 - val_categorical_accuracy: 0.9590 - 650ms/epoch - 5ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2072 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2103 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2149 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2089 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9876 - val_loss: 0.2849 - val_categorical_accuracy: 0.9364 - 640ms/epoch - 5ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.1208 - categorical_accuracy: 0.9668 - val_loss: 0.1988 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9878 - val_loss: 0.1970 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2008 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2014 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9869 - val_loss: 0.2044 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9884 - val_loss: 0.2031 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2048 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2187 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2117 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2202 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2127 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2227 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2129 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2204 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2064 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2249 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2168 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2183 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2249 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2205 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2313 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9882 - val_loss: 0.2143 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2165 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2201 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2151 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2208 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2215 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2257 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.2445 - categorical_accuracy: 0.9325 - val_loss: 0.1870 - val_categorical_accuracy: 0.9560 - 640ms/epoch - 5ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.2142 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2085 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9880 - val_loss: 0.2109 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.2078 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2071 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.1998 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9886 - val_loss: 0.2025 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2061 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2047 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9882 - val_loss: 0.2009 - val_categorical_accuracy: 0.9628 - 700ms/epoch - 5ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2121 - val_categorical_accuracy: 0.9623 - 740ms/epoch - 5ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2127 - val_categorical_accuracy: 0.9620 - 740ms/epoch - 5ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2164 - val_categorical_accuracy: 0.9618 - 740ms/epoch - 5ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2182 - val_categorical_accuracy: 0.9615 - 740ms/epoch - 5ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2086 - val_categorical_accuracy: 0.9614 - 700ms/epoch - 5ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9877 - val_loss: 0.2467 - val_categorical_accuracy: 0.9532 - 740ms/epoch - 5ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2051 - val_categorical_accuracy: 0.9618 - 720ms/epoch - 5ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2163 - val_categorical_accuracy: 0.9598 - 710ms/epoch - 5ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2201 - val_categorical_accuracy: 0.9606 - 730ms/epoch - 5ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2255 - val_categorical_accuracy: 0.9603 - 710ms/epoch - 5ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2146 - val_categorical_accuracy: 0.9633 - 710ms/epoch - 5ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2240 - val_categorical_accuracy: 0.9599 - 710ms/epoch - 5ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2201 - val_categorical_accuracy: 0.9594 - 740ms/epoch - 5ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2327 - val_categorical_accuracy: 0.9601 - 720ms/epoch - 5ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2192 - val_categorical_accuracy: 0.9619 - 730ms/epoch - 5ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2216 - val_categorical_accuracy: 0.9595 - 730ms/epoch - 5ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2162 - val_categorical_accuracy: 0.9609 - 730ms/epoch - 5ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2097 - val_categorical_accuracy: 0.9634 - 760ms/epoch - 5ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9886 - val_loss: 0.2179 - val_categorical_accuracy: 0.9623 - 760ms/epoch - 5ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2241 - val_categorical_accuracy: 0.9620 - 750ms/epoch - 5ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9887 - val_loss: 0.2247 - val_categorical_accuracy: 0.9610 - 750ms/epoch - 5ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2203 - val_categorical_accuracy: 0.9621 - 760ms/epoch - 5ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2121 - val_categorical_accuracy: 0.9633 - 760ms/epoch - 5ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2166 - val_categorical_accuracy: 0.9624 - 750ms/epoch - 5ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2171 - val_categorical_accuracy: 0.9625 - 750ms/epoch - 5ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2122 - val_categorical_accuracy: 0.9641 - 770ms/epoch - 5ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2163 - val_categorical_accuracy: 0.9620 - 750ms/epoch - 5ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2218 - val_categorical_accuracy: 0.9619 - 740ms/epoch - 5ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2081 - val_categorical_accuracy: 0.9637 - 750ms/epoch - 5ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2150 - val_categorical_accuracy: 0.9614 - 760ms/epoch - 5ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2276 - val_categorical_accuracy: 0.9625 - 760ms/epoch - 5ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.2346 - categorical_accuracy: 0.9488 - val_loss: 1.1051 - val_categorical_accuracy: 0.6062 - 750ms/epoch - 5ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.4187 - categorical_accuracy: 0.8503 - val_loss: 0.2469 - val_categorical_accuracy: 0.9197 - 750ms/epoch - 5ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.1331 - categorical_accuracy: 0.9538 - val_loss: 0.1882 - val_categorical_accuracy: 0.9471 - 760ms/epoch - 5ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0751 - categorical_accuracy: 0.9736 - val_loss: 0.1900 - val_categorical_accuracy: 0.9529 - 740ms/epoch - 5ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9803 - val_loss: 0.1826 - val_categorical_accuracy: 0.9584 - 740ms/epoch - 5ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.1809 - val_categorical_accuracy: 0.9609 - 750ms/epoch - 5ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9847 - val_loss: 0.1874 - val_categorical_accuracy: 0.9568 - 760ms/epoch - 5ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9855 - val_loss: 0.1967 - val_categorical_accuracy: 0.9572 - 740ms/epoch - 5ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9860 - val_loss: 0.2007 - val_categorical_accuracy: 0.9596 - 740ms/epoch - 5ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9862 - val_loss: 0.1892 - val_categorical_accuracy: 0.9626 - 750ms/epoch - 5ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1932 - val_categorical_accuracy: 0.9621 - 750ms/epoch - 5ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2134 - val_categorical_accuracy: 0.9579 - 760ms/epoch - 5ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.2037 - val_categorical_accuracy: 0.9592 - 740ms/epoch - 5ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2136 - val_categorical_accuracy: 0.9591 - 750ms/epoch - 5ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9871 - val_loss: 0.2384 - val_categorical_accuracy: 0.9517 - 740ms/epoch - 5ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.1934 - val_categorical_accuracy: 0.9635 - 763ms/epoch - 5ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9872 - val_loss: 0.2065 - val_categorical_accuracy: 0.9621 - 750ms/epoch - 5ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.2096 - val_categorical_accuracy: 0.9606 - 740ms/epoch - 5ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2019 - val_categorical_accuracy: 0.9616 - 760ms/epoch - 5ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2102 - val_categorical_accuracy: 0.9608 - 760ms/epoch - 5ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9879 - val_loss: 0.2045 - val_categorical_accuracy: 0.9599 - 760ms/epoch - 5ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2256 - val_categorical_accuracy: 0.9603 - 760ms/epoch - 5ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2717 - val_categorical_accuracy: 0.9492 - 740ms/epoch - 5ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9874 - val_loss: 0.2090 - val_categorical_accuracy: 0.9602 - 750ms/epoch - 5ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2195 - val_categorical_accuracy: 0.9593 - 740ms/epoch - 5ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.2044 - val_categorical_accuracy: 0.9646 - 750ms/epoch - 5ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2086 - val_categorical_accuracy: 0.9630 - 740ms/epoch - 5ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9884 - val_loss: 0.2049 - val_categorical_accuracy: 0.9629 - 750ms/epoch - 5ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.2109 - val_categorical_accuracy: 0.9611 - 750ms/epoch - 5ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2187 - val_categorical_accuracy: 0.9620 - 740ms/epoch - 5ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2181 - val_categorical_accuracy: 0.9617 - 740ms/epoch - 5ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2163 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2157 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2240 - val_categorical_accuracy: 0.9590 - 650ms/epoch - 5ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2472 - val_categorical_accuracy: 0.9527 - 640ms/epoch - 5ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.1730 - categorical_accuracy: 0.9543 - val_loss: 0.1891 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9873 - val_loss: 0.1972 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9879 - val_loss: 0.2112 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9885 - val_loss: 0.1922 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2165 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.1989 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2100 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2079 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2016 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2031 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2117 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2070 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2070 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9884 - val_loss: 0.2040 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2017 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2541 - val_categorical_accuracy: 0.9564 - 650ms/epoch - 5ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.2192 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2395 - val_categorical_accuracy: 0.9579 - 660ms/epoch - 5ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2054 - val_categorical_accuracy: 0.9638 - 660ms/epoch - 5ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2156 - val_categorical_accuracy: 0.9626 - 650ms/epoch - 5ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2233 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9881 - val_loss: 0.2054 - val_categorical_accuracy: 0.9647 - 650ms/epoch - 5ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2162 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2101 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2046 - val_categorical_accuracy: 0.9644 - 630ms/epoch - 4ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2130 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2704 - val_categorical_accuracy: 0.9500 - 640ms/epoch - 5ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2215 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9883 - val_loss: 0.2222 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2496 - val_categorical_accuracy: 0.9521 - 640ms/epoch - 5ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2242 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.2190 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9884 - val_loss: 0.2346 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9874 - val_loss: 0.2322 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9875 - val_loss: 0.2209 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.3307 - categorical_accuracy: 0.9111 - val_loss: 0.2085 - val_categorical_accuracy: 0.9486 - 630ms/epoch - 4ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0492 - categorical_accuracy: 0.9828 - val_loss: 0.2046 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9867 - val_loss: 0.2102 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2098 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9882 - val_loss: 0.2045 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2019 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2262 - val_categorical_accuracy: 0.9585 - 650ms/epoch - 5ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9883 - val_loss: 0.2140 - val_categorical_accuracy: 0.9601 - 650ms/epoch - 5ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9883 - val_loss: 0.2115 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2292 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2159 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2181 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2081 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2430 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2226 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2209 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2077 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2121 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2213 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9880 - val_loss: 0.2127 - val_categorical_accuracy: 0.9644 - 640ms/epoch - 5ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2123 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9883 - val_loss: 0.2146 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2072 - val_categorical_accuracy: 0.9641 - 640ms/epoch - 5ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2296 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2355 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2291 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9884 - val_loss: 0.2309 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2097 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2246 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2376 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2267 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2283 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2236 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2312 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0839 - categorical_accuracy: 0.9790 - val_loss: 0.2565 - val_categorical_accuracy: 0.9267 - 640ms/epoch - 5ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9829 - val_loss: 0.1973 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9886 - val_loss: 0.2163 - val_categorical_accuracy: 0.9626 - 636ms/epoch - 5ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2066 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2130 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2174 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9886 - val_loss: 0.2126 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2023 - val_categorical_accuracy: 0.9639 - 630ms/epoch - 4ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9888 - val_loss: 0.2245 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2177 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2170 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2153 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2331 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0761 - categorical_accuracy: 0.9785 - val_loss: 0.1940 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9876 - val_loss: 0.2109 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2216 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2046 - val_categorical_accuracy: 0.9617 - 650ms/epoch - 5ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2158 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2286 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2143 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9875 - val_loss: 0.2111 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2233 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2314 - val_categorical_accuracy: 0.9567 - 640ms/epoch - 5ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.2181 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2358 - val_categorical_accuracy: 0.9541 - 640ms/epoch - 5ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2174 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2200 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2272 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9886 - val_loss: 0.2214 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2205 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2245 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2270 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2281 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2182 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2256 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2242 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2240 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2361 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9890 - val_loss: 0.2499 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9874 - val_loss: 0.2399 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2244 - val_categorical_accuracy: 0.9599 - 650ms/epoch - 5ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2223 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2378 - val_categorical_accuracy: 0.9614 - 650ms/epoch - 5ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2354 - val_categorical_accuracy: 0.9590 - 660ms/epoch - 5ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2326 - val_categorical_accuracy: 0.9622 - 650ms/epoch - 5ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9880 - val_loss: 0.2255 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2316 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2314 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2360 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9880 - val_loss: 0.2371 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2355 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2363 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2228 - val_categorical_accuracy: 0.9639 - 640ms/epoch - 5ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2403 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2264 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9870 - val_loss: 0.2303 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2412 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2443 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2586 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2294 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2302 - val_categorical_accuracy: 0.9606 - 650ms/epoch - 5ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2262 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2314 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2319 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2297 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9881 - val_loss: 0.2433 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2495 - val_categorical_accuracy: 0.9556 - 640ms/epoch - 5ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2326 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2379 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2726 - val_categorical_accuracy: 0.9517 - 640ms/epoch - 5ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.2697 - categorical_accuracy: 0.9249 - val_loss: 0.2154 - val_categorical_accuracy: 0.9473 - 640ms/epoch - 5ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9839 - val_loss: 0.2015 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9874 - val_loss: 0.2068 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2224 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9882 - val_loss: 0.2158 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2145 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2099 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2161 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2239 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2123 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2244 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2217 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2198 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2217 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2292 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9887 - val_loss: 0.2429 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2355 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2374 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2268 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2163 - val_categorical_accuracy: 0.9639 - 640ms/epoch - 5ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2265 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2269 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0589 - categorical_accuracy: 0.9827 - val_loss: 0.2303 - val_categorical_accuracy: 0.9526 - 640ms/epoch - 5ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2141 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9892 - val_loss: 0.2240 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2285 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2220 - val_categorical_accuracy: 0.9608 - 644ms/epoch - 5ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2167 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2201 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2244 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2237 - val_categorical_accuracy: 0.9612 - 650ms/epoch - 5ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.1029 - categorical_accuracy: 0.9732 - val_loss: 0.1985 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.1930 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2054 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9891 - val_loss: 0.2060 - val_categorical_accuracy: 0.9639 - 640ms/epoch - 5ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9895 - val_loss: 0.2138 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2205 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2193 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2153 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2222 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2252 - val_categorical_accuracy: 0.9627 - 637ms/epoch - 5ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9888 - val_loss: 0.2249 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2131 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2186 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2242 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9893 - val_loss: 0.2262 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2197 - val_categorical_accuracy: 0.9638 - 630ms/epoch - 4ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2199 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0733 - categorical_accuracy: 0.9805 - val_loss: 0.2243 - val_categorical_accuracy: 0.9451 - 630ms/epoch - 4ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.2416 - val_categorical_accuracy: 0.9508 - 640ms/epoch - 5ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9882 - val_loss: 0.2264 - val_categorical_accuracy: 0.9572 - 640ms/epoch - 5ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2231 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9891 - val_loss: 0.2204 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2236 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2236 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2217 - val_categorical_accuracy: 0.9623 - 830ms/epoch - 6ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2140 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2362 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2275 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2336 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.2294 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2272 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2256 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2359 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2662 - val_categorical_accuracy: 0.9507 - 660ms/epoch - 5ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2219 - val_categorical_accuracy: 0.9642 - 660ms/epoch - 5ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2158 - val_categorical_accuracy: 0.9628 - 670ms/epoch - 5ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2193 - val_categorical_accuracy: 0.9613 - 660ms/epoch - 5ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2291 - val_categorical_accuracy: 0.9611 - 650ms/epoch - 5ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9887 - val_loss: 0.2345 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2256 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2349 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2278 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2298 - val_categorical_accuracy: 0.9595 - 650ms/epoch - 5ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2383 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2247 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2368 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9882 - val_loss: 0.2315 - val_categorical_accuracy: 0.9620 - 650ms/epoch - 5ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2269 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2346 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2360 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2265 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9874 - val_loss: 0.2319 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9889 - val_loss: 0.2350 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2297 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2323 - val_categorical_accuracy: 0.9629 - 650ms/epoch - 5ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2413 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2351 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2448 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2425 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2336 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9886 - val_loss: 0.2377 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2443 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2383 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.1111 - categorical_accuracy: 0.9738 - val_loss: 0.2442 - val_categorical_accuracy: 0.9343 - 640ms/epoch - 5ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9824 - val_loss: 0.2212 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9886 - val_loss: 0.2203 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2169 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2285 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2315 - val_categorical_accuracy: 0.9607 - 650ms/epoch - 5ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2300 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9776 - val_loss: 0.2274 - val_categorical_accuracy: 0.9523 - 640ms/epoch - 5ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2129 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2097 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2085 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9890 - val_loss: 0.2145 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9894 - val_loss: 0.2240 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2197 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2142 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2261 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2199 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2268 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2192 - val_categorical_accuracy: 0.9638 - 640ms/epoch - 5ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2317 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2420 - val_categorical_accuracy: 0.9580 - 640ms/epoch - 5ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2257 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2303 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2198 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2436 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2355 - val_categorical_accuracy: 0.9597 - 646ms/epoch - 5ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2340 - val_categorical_accuracy: 0.9606 - 632ms/epoch - 4ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2305 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2296 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0711 - categorical_accuracy: 0.9810 - val_loss: 0.2139 - val_categorical_accuracy: 0.9504 - 640ms/epoch - 5ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2147 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2306 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2169 - val_categorical_accuracy: 0.9642 - 640ms/epoch - 5ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2237 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2296 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2342 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2236 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2449 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2234 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9796 - val_loss: 0.2479 - val_categorical_accuracy: 0.9469 - 640ms/epoch - 5ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2112 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2344 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2510 - val_categorical_accuracy: 0.9530 - 640ms/epoch - 5ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0622 - categorical_accuracy: 0.9817 - val_loss: 0.2012 - val_categorical_accuracy: 0.9639 - 630ms/epoch - 4ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9893 - val_loss: 0.2071 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2272 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2263 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2227 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2274 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2170 - val_categorical_accuracy: 0.9651 - 650ms/epoch - 5ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2345 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2205 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2256 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2294 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2415 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2248 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2312 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9895 - val_loss: 0.2438 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2229 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2229 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2336 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9761 - val_loss: 0.2233 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2217 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2138 - val_categorical_accuracy: 0.9619 - 650ms/epoch - 5ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2105 - val_categorical_accuracy: 0.9651 - 640ms/epoch - 5ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9896 - val_loss: 0.2214 - val_categorical_accuracy: 0.9629 - 660ms/epoch - 5ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2275 - val_categorical_accuracy: 0.9626 - 660ms/epoch - 5ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2382 - val_categorical_accuracy: 0.9601 - 650ms/epoch - 5ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2329 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9892 - val_loss: 0.2255 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2264 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2414 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9895 - val_loss: 0.2241 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.2364 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2297 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2248 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2591 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2414 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2442 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2357 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2347 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.1514 - categorical_accuracy: 0.9666 - val_loss: 0.8568 - val_categorical_accuracy: 0.7049 - 640ms/epoch - 5ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.2649 - categorical_accuracy: 0.9045 - val_loss: 0.1994 - val_categorical_accuracy: 0.9497 - 630ms/epoch - 4ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9803 - val_loss: 0.1993 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2095 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9885 - val_loss: 0.2122 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2103 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2140 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2125 - val_categorical_accuracy: 0.9646 - 640ms/epoch - 5ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2195 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9892 - val_loss: 0.2136 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2251 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.2168 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2191 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2297 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2301 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2206 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2277 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2430 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2229 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2211 - val_categorical_accuracy: 0.9642 - 640ms/epoch - 5ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2278 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2247 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9896 - val_loss: 0.2303 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2301 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2193 - val_categorical_accuracy: 0.9642 - 640ms/epoch - 5ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2212 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2304 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2213 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9888 - val_loss: 0.2323 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9886 - val_loss: 0.2310 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2273 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2714 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9885 - val_loss: 0.2325 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2429 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9894 - val_loss: 0.2407 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2291 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2270 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2357 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
processing fold # 10 
Epoch 1/1500
141/141 - 1s - loss: 1.9400 - categorical_accuracy: 0.2771 - val_loss: 1.7776 - val_categorical_accuracy: 0.3520 - 1s/epoch - 10ms/step
Epoch 2/1500
141/141 - 1s - loss: 1.5369 - categorical_accuracy: 0.4241 - val_loss: 1.3999 - val_categorical_accuracy: 0.4701 - 630ms/epoch - 4ms/step
Epoch 3/1500
141/141 - 1s - loss: 1.2886 - categorical_accuracy: 0.5101 - val_loss: 1.1711 - val_categorical_accuracy: 0.5425 - 630ms/epoch - 4ms/step
Epoch 4/1500
141/141 - 1s - loss: 1.1702 - categorical_accuracy: 0.5595 - val_loss: 1.1109 - val_categorical_accuracy: 0.5744 - 630ms/epoch - 4ms/step
Epoch 5/1500
141/141 - 1s - loss: 1.0686 - categorical_accuracy: 0.6030 - val_loss: 0.9052 - val_categorical_accuracy: 0.6632 - 630ms/epoch - 4ms/step
Epoch 6/1500
141/141 - 1s - loss: 0.9778 - categorical_accuracy: 0.6337 - val_loss: 0.8180 - val_categorical_accuracy: 0.6984 - 630ms/epoch - 4ms/step
Epoch 7/1500
141/141 - 1s - loss: 0.8477 - categorical_accuracy: 0.6804 - val_loss: 0.7869 - val_categorical_accuracy: 0.6981 - 630ms/epoch - 4ms/step
Epoch 8/1500
141/141 - 1s - loss: 1.0196 - categorical_accuracy: 0.6362 - val_loss: 0.7100 - val_categorical_accuracy: 0.7312 - 640ms/epoch - 5ms/step
Epoch 9/1500
141/141 - 1s - loss: 0.7828 - categorical_accuracy: 0.7108 - val_loss: 0.7453 - val_categorical_accuracy: 0.7159 - 630ms/epoch - 4ms/step
Epoch 10/1500
141/141 - 1s - loss: 0.7115 - categorical_accuracy: 0.7375 - val_loss: 0.6401 - val_categorical_accuracy: 0.7725 - 630ms/epoch - 4ms/step
Epoch 11/1500
141/141 - 1s - loss: 0.6406 - categorical_accuracy: 0.7614 - val_loss: 0.7273 - val_categorical_accuracy: 0.7293 - 630ms/epoch - 4ms/step
Epoch 12/1500
141/141 - 1s - loss: 0.6451 - categorical_accuracy: 0.7635 - val_loss: 0.6738 - val_categorical_accuracy: 0.7602 - 630ms/epoch - 4ms/step
Epoch 13/1500
141/141 - 1s - loss: 0.7033 - categorical_accuracy: 0.7553 - val_loss: 0.6304 - val_categorical_accuracy: 0.7607 - 630ms/epoch - 4ms/step
Epoch 14/1500
141/141 - 1s - loss: 0.5869 - categorical_accuracy: 0.7867 - val_loss: 0.5450 - val_categorical_accuracy: 0.7914 - 630ms/epoch - 4ms/step
Epoch 15/1500
141/141 - 1s - loss: 0.5231 - categorical_accuracy: 0.8066 - val_loss: 0.9621 - val_categorical_accuracy: 0.6903 - 630ms/epoch - 4ms/step
Epoch 16/1500
141/141 - 1s - loss: 0.5153 - categorical_accuracy: 0.8116 - val_loss: 0.4556 - val_categorical_accuracy: 0.8310 - 630ms/epoch - 4ms/step
Epoch 17/1500
141/141 - 1s - loss: 0.5167 - categorical_accuracy: 0.8138 - val_loss: 0.4664 - val_categorical_accuracy: 0.8272 - 630ms/epoch - 4ms/step
Epoch 18/1500
141/141 - 1s - loss: 0.5981 - categorical_accuracy: 0.7994 - val_loss: 0.5064 - val_categorical_accuracy: 0.8082 - 630ms/epoch - 4ms/step
Epoch 19/1500
141/141 - 1s - loss: 0.4726 - categorical_accuracy: 0.8305 - val_loss: 0.4626 - val_categorical_accuracy: 0.8340 - 630ms/epoch - 4ms/step
Epoch 20/1500
141/141 - 1s - loss: 0.4333 - categorical_accuracy: 0.8417 - val_loss: 0.4207 - val_categorical_accuracy: 0.8481 - 630ms/epoch - 4ms/step
Epoch 21/1500
141/141 - 1s - loss: 0.4836 - categorical_accuracy: 0.8319 - val_loss: 0.5596 - val_categorical_accuracy: 0.8088 - 630ms/epoch - 4ms/step
Epoch 22/1500
141/141 - 1s - loss: 0.4066 - categorical_accuracy: 0.8536 - val_loss: 0.4097 - val_categorical_accuracy: 0.8476 - 630ms/epoch - 4ms/step
Epoch 23/1500
141/141 - 1s - loss: 0.4334 - categorical_accuracy: 0.8465 - val_loss: 0.3848 - val_categorical_accuracy: 0.8608 - 630ms/epoch - 4ms/step
Epoch 24/1500
141/141 - 1s - loss: 0.3736 - categorical_accuracy: 0.8641 - val_loss: 0.3717 - val_categorical_accuracy: 0.8625 - 630ms/epoch - 4ms/step
Epoch 25/1500
141/141 - 1s - loss: 0.3759 - categorical_accuracy: 0.8639 - val_loss: 1.6284 - val_categorical_accuracy: 0.6148 - 630ms/epoch - 4ms/step
Epoch 26/1500
141/141 - 1s - loss: 0.3814 - categorical_accuracy: 0.8649 - val_loss: 0.3412 - val_categorical_accuracy: 0.8779 - 630ms/epoch - 4ms/step
Epoch 27/1500
141/141 - 1s - loss: 0.3430 - categorical_accuracy: 0.8762 - val_loss: 0.4804 - val_categorical_accuracy: 0.8281 - 630ms/epoch - 4ms/step
Epoch 28/1500
141/141 - 1s - loss: 0.5399 - categorical_accuracy: 0.8237 - val_loss: 0.5436 - val_categorical_accuracy: 0.8189 - 630ms/epoch - 4ms/step
Epoch 29/1500
141/141 - 1s - loss: 0.3553 - categorical_accuracy: 0.8751 - val_loss: 0.3489 - val_categorical_accuracy: 0.8725 - 630ms/epoch - 4ms/step
Epoch 30/1500
141/141 - 1s - loss: 0.3243 - categorical_accuracy: 0.8833 - val_loss: 0.3414 - val_categorical_accuracy: 0.8737 - 630ms/epoch - 4ms/step
Epoch 31/1500
141/141 - 1s - loss: 0.3194 - categorical_accuracy: 0.8853 - val_loss: 0.3347 - val_categorical_accuracy: 0.8746 - 630ms/epoch - 4ms/step
Epoch 32/1500
141/141 - 1s - loss: 0.3134 - categorical_accuracy: 0.8890 - val_loss: 0.3209 - val_categorical_accuracy: 0.8843 - 630ms/epoch - 4ms/step
Epoch 33/1500
141/141 - 1s - loss: 0.3158 - categorical_accuracy: 0.8901 - val_loss: 0.3129 - val_categorical_accuracy: 0.8836 - 630ms/epoch - 4ms/step
Epoch 34/1500
141/141 - 1s - loss: 0.3052 - categorical_accuracy: 0.8910 - val_loss: 0.3440 - val_categorical_accuracy: 0.8772 - 630ms/epoch - 4ms/step
Epoch 35/1500
141/141 - 1s - loss: 0.2868 - categorical_accuracy: 0.8977 - val_loss: 0.2795 - val_categorical_accuracy: 0.9013 - 640ms/epoch - 5ms/step
Epoch 36/1500
141/141 - 1s - loss: 0.2814 - categorical_accuracy: 0.8998 - val_loss: 0.2961 - val_categorical_accuracy: 0.8916 - 640ms/epoch - 5ms/step
Epoch 37/1500
141/141 - 1s - loss: 0.3143 - categorical_accuracy: 0.8913 - val_loss: 0.2738 - val_categorical_accuracy: 0.9041 - 630ms/epoch - 4ms/step
Epoch 38/1500
141/141 - 1s - loss: 0.2669 - categorical_accuracy: 0.9050 - val_loss: 0.2868 - val_categorical_accuracy: 0.8970 - 640ms/epoch - 5ms/step
Epoch 39/1500
141/141 - 1s - loss: 0.2578 - categorical_accuracy: 0.9085 - val_loss: 0.3425 - val_categorical_accuracy: 0.8718 - 630ms/epoch - 4ms/step
Epoch 40/1500
141/141 - 1s - loss: 0.3475 - categorical_accuracy: 0.8868 - val_loss: 0.2792 - val_categorical_accuracy: 0.9009 - 660ms/epoch - 5ms/step
Epoch 41/1500
141/141 - 1s - loss: 0.2674 - categorical_accuracy: 0.9072 - val_loss: 0.2965 - val_categorical_accuracy: 0.8912 - 660ms/epoch - 5ms/step
Epoch 42/1500
141/141 - 1s - loss: 0.2469 - categorical_accuracy: 0.9123 - val_loss: 0.2924 - val_categorical_accuracy: 0.8966 - 640ms/epoch - 5ms/step
Epoch 43/1500
141/141 - 1s - loss: 0.2599 - categorical_accuracy: 0.9102 - val_loss: 0.2422 - val_categorical_accuracy: 0.9152 - 630ms/epoch - 4ms/step
Epoch 44/1500
141/141 - 1s - loss: 0.2395 - categorical_accuracy: 0.9152 - val_loss: 0.2628 - val_categorical_accuracy: 0.9073 - 630ms/epoch - 4ms/step
Epoch 45/1500
141/141 - 1s - loss: 0.2806 - categorical_accuracy: 0.9058 - val_loss: 0.2351 - val_categorical_accuracy: 0.9175 - 630ms/epoch - 4ms/step
Epoch 46/1500
141/141 - 1s - loss: 0.2281 - categorical_accuracy: 0.9193 - val_loss: 0.3188 - val_categorical_accuracy: 0.8909 - 630ms/epoch - 4ms/step
Epoch 47/1500
141/141 - 1s - loss: 0.2287 - categorical_accuracy: 0.9198 - val_loss: 0.2513 - val_categorical_accuracy: 0.9122 - 630ms/epoch - 4ms/step
Epoch 48/1500
141/141 - 1s - loss: 0.2468 - categorical_accuracy: 0.9142 - val_loss: 0.2360 - val_categorical_accuracy: 0.9173 - 630ms/epoch - 4ms/step
Epoch 49/1500
141/141 - 1s - loss: 0.2147 - categorical_accuracy: 0.9247 - val_loss: 0.2441 - val_categorical_accuracy: 0.9141 - 630ms/epoch - 4ms/step
Epoch 50/1500
141/141 - 1s - loss: 0.2253 - categorical_accuracy: 0.9219 - val_loss: 0.2204 - val_categorical_accuracy: 0.9225 - 630ms/epoch - 4ms/step
Epoch 51/1500
141/141 - 1s - loss: 0.2103 - categorical_accuracy: 0.9261 - val_loss: 0.2417 - val_categorical_accuracy: 0.9125 - 620ms/epoch - 4ms/step
Epoch 52/1500
141/141 - 1s - loss: 0.2153 - categorical_accuracy: 0.9241 - val_loss: 0.2326 - val_categorical_accuracy: 0.9194 - 630ms/epoch - 4ms/step
Epoch 53/1500
141/141 - 1s - loss: 0.3569 - categorical_accuracy: 0.8904 - val_loss: 0.2443 - val_categorical_accuracy: 0.9128 - 630ms/epoch - 4ms/step
Epoch 54/1500
141/141 - 1s - loss: 0.1993 - categorical_accuracy: 0.9305 - val_loss: 0.2276 - val_categorical_accuracy: 0.9186 - 630ms/epoch - 4ms/step
Epoch 55/1500
141/141 - 1s - loss: 0.2086 - categorical_accuracy: 0.9280 - val_loss: 0.3179 - val_categorical_accuracy: 0.8848 - 630ms/epoch - 4ms/step
Epoch 56/1500
141/141 - 1s - loss: 0.2043 - categorical_accuracy: 0.9286 - val_loss: 0.6071 - val_categorical_accuracy: 0.8241 - 620ms/epoch - 4ms/step
Epoch 57/1500
141/141 - 1s - loss: 0.2005 - categorical_accuracy: 0.9315 - val_loss: 0.2779 - val_categorical_accuracy: 0.9008 - 630ms/epoch - 4ms/step
Epoch 58/1500
141/141 - 1s - loss: 0.5799 - categorical_accuracy: 0.8360 - val_loss: 1.0064 - val_categorical_accuracy: 0.6431 - 810ms/epoch - 6ms/step
Epoch 59/1500
141/141 - 1s - loss: 0.5686 - categorical_accuracy: 0.7965 - val_loss: 0.4247 - val_categorical_accuracy: 0.8479 - 640ms/epoch - 5ms/step
Epoch 60/1500
141/141 - 1s - loss: 0.3224 - categorical_accuracy: 0.8851 - val_loss: 0.3064 - val_categorical_accuracy: 0.8888 - 640ms/epoch - 5ms/step
Epoch 61/1500
141/141 - 1s - loss: 0.2616 - categorical_accuracy: 0.9075 - val_loss: 0.2988 - val_categorical_accuracy: 0.8960 - 640ms/epoch - 5ms/step
Epoch 62/1500
141/141 - 1s - loss: 0.2452 - categorical_accuracy: 0.9142 - val_loss: 0.2501 - val_categorical_accuracy: 0.9105 - 640ms/epoch - 5ms/step
Epoch 63/1500
141/141 - 1s - loss: 0.2181 - categorical_accuracy: 0.9233 - val_loss: 0.2412 - val_categorical_accuracy: 0.9162 - 640ms/epoch - 5ms/step
Epoch 64/1500
141/141 - 1s - loss: 0.2427 - categorical_accuracy: 0.9184 - val_loss: 0.2388 - val_categorical_accuracy: 0.9174 - 640ms/epoch - 5ms/step
Epoch 65/1500
141/141 - 1s - loss: 0.1997 - categorical_accuracy: 0.9307 - val_loss: 0.2593 - val_categorical_accuracy: 0.9098 - 640ms/epoch - 5ms/step
Epoch 66/1500
141/141 - 1s - loss: 0.2010 - categorical_accuracy: 0.9298 - val_loss: 0.2180 - val_categorical_accuracy: 0.9249 - 640ms/epoch - 5ms/step
Epoch 67/1500
141/141 - 1s - loss: 0.1977 - categorical_accuracy: 0.9309 - val_loss: 0.2242 - val_categorical_accuracy: 0.9226 - 630ms/epoch - 4ms/step
Epoch 68/1500
141/141 - 1s - loss: 0.1895 - categorical_accuracy: 0.9341 - val_loss: 0.4073 - val_categorical_accuracy: 0.8614 - 630ms/epoch - 4ms/step
Epoch 69/1500
141/141 - 1s - loss: 0.1963 - categorical_accuracy: 0.9330 - val_loss: 0.2891 - val_categorical_accuracy: 0.8989 - 640ms/epoch - 5ms/step
Epoch 70/1500
141/141 - 1s - loss: 0.1811 - categorical_accuracy: 0.9384 - val_loss: 0.2571 - val_categorical_accuracy: 0.9113 - 640ms/epoch - 5ms/step
Epoch 71/1500
141/141 - 1s - loss: 0.3014 - categorical_accuracy: 0.9082 - val_loss: 0.2352 - val_categorical_accuracy: 0.9189 - 640ms/epoch - 5ms/step
Epoch 72/1500
141/141 - 1s - loss: 0.1723 - categorical_accuracy: 0.9399 - val_loss: 0.2542 - val_categorical_accuracy: 0.9078 - 630ms/epoch - 4ms/step
Epoch 73/1500
141/141 - 1s - loss: 0.2369 - categorical_accuracy: 0.9249 - val_loss: 0.2025 - val_categorical_accuracy: 0.9302 - 640ms/epoch - 5ms/step
Epoch 74/1500
141/141 - 1s - loss: 0.1658 - categorical_accuracy: 0.9430 - val_loss: 0.2127 - val_categorical_accuracy: 0.9269 - 640ms/epoch - 5ms/step
Epoch 75/1500
141/141 - 1s - loss: 0.1626 - categorical_accuracy: 0.9436 - val_loss: 0.2238 - val_categorical_accuracy: 0.9206 - 640ms/epoch - 5ms/step
Epoch 76/1500
141/141 - 1s - loss: 0.1679 - categorical_accuracy: 0.9416 - val_loss: 0.2311 - val_categorical_accuracy: 0.9221 - 640ms/epoch - 5ms/step
Epoch 77/1500
141/141 - 1s - loss: 0.1628 - categorical_accuracy: 0.9437 - val_loss: 0.2019 - val_categorical_accuracy: 0.9321 - 640ms/epoch - 5ms/step
Epoch 78/1500
141/141 - 1s - loss: 0.1865 - categorical_accuracy: 0.9382 - val_loss: 0.2000 - val_categorical_accuracy: 0.9304 - 640ms/epoch - 5ms/step
Epoch 79/1500
141/141 - 1s - loss: 0.1711 - categorical_accuracy: 0.9421 - val_loss: 0.2015 - val_categorical_accuracy: 0.9302 - 640ms/epoch - 5ms/step
Epoch 80/1500
141/141 - 1s - loss: 0.1692 - categorical_accuracy: 0.9423 - val_loss: 0.2495 - val_categorical_accuracy: 0.9173 - 640ms/epoch - 5ms/step
Epoch 81/1500
141/141 - 1s - loss: 0.1500 - categorical_accuracy: 0.9486 - val_loss: 0.1869 - val_categorical_accuracy: 0.9374 - 640ms/epoch - 5ms/step
Epoch 82/1500
141/141 - 1s - loss: 0.1738 - categorical_accuracy: 0.9419 - val_loss: 0.1787 - val_categorical_accuracy: 0.9385 - 630ms/epoch - 4ms/step
Epoch 83/1500
141/141 - 1s - loss: 0.1474 - categorical_accuracy: 0.9490 - val_loss: 0.2101 - val_categorical_accuracy: 0.9275 - 640ms/epoch - 5ms/step
Epoch 84/1500
141/141 - 1s - loss: 0.1503 - categorical_accuracy: 0.9485 - val_loss: 0.1789 - val_categorical_accuracy: 0.9404 - 640ms/epoch - 5ms/step
Epoch 85/1500
141/141 - 1s - loss: 0.1508 - categorical_accuracy: 0.9481 - val_loss: 0.1997 - val_categorical_accuracy: 0.9339 - 640ms/epoch - 5ms/step
Epoch 86/1500
141/141 - 1s - loss: 0.1486 - categorical_accuracy: 0.9492 - val_loss: 0.1799 - val_categorical_accuracy: 0.9404 - 640ms/epoch - 5ms/step
Epoch 87/1500
141/141 - 1s - loss: 0.1468 - categorical_accuracy: 0.9502 - val_loss: 0.1932 - val_categorical_accuracy: 0.9345 - 630ms/epoch - 4ms/step
Epoch 88/1500
141/141 - 1s - loss: 0.2411 - categorical_accuracy: 0.9272 - val_loss: 0.1893 - val_categorical_accuracy: 0.9352 - 630ms/epoch - 4ms/step
Epoch 89/1500
141/141 - 1s - loss: 0.1369 - categorical_accuracy: 0.9536 - val_loss: 0.1799 - val_categorical_accuracy: 0.9407 - 640ms/epoch - 5ms/step
Epoch 90/1500
141/141 - 1s - loss: 0.1529 - categorical_accuracy: 0.9484 - val_loss: 0.1780 - val_categorical_accuracy: 0.9386 - 640ms/epoch - 5ms/step
Epoch 91/1500
141/141 - 1s - loss: 0.1413 - categorical_accuracy: 0.9516 - val_loss: 0.1758 - val_categorical_accuracy: 0.9404 - 630ms/epoch - 4ms/step
Epoch 92/1500
141/141 - 1s - loss: 0.1633 - categorical_accuracy: 0.9459 - val_loss: 0.1841 - val_categorical_accuracy: 0.9376 - 630ms/epoch - 4ms/step
Epoch 93/1500
141/141 - 1s - loss: 0.1309 - categorical_accuracy: 0.9557 - val_loss: 0.1889 - val_categorical_accuracy: 0.9347 - 630ms/epoch - 4ms/step
Epoch 94/1500
141/141 - 1s - loss: 0.1346 - categorical_accuracy: 0.9537 - val_loss: 0.3198 - val_categorical_accuracy: 0.8950 - 644ms/epoch - 5ms/step
Epoch 95/1500
141/141 - 1s - loss: 0.1381 - categorical_accuracy: 0.9531 - val_loss: 0.1778 - val_categorical_accuracy: 0.9396 - 630ms/epoch - 4ms/step
Epoch 96/1500
141/141 - 1s - loss: 0.1300 - categorical_accuracy: 0.9555 - val_loss: 0.3459 - val_categorical_accuracy: 0.8809 - 630ms/epoch - 4ms/step
Epoch 97/1500
141/141 - 1s - loss: 0.1277 - categorical_accuracy: 0.9570 - val_loss: 0.1858 - val_categorical_accuracy: 0.9388 - 630ms/epoch - 4ms/step
Epoch 98/1500
141/141 - 1s - loss: 0.1512 - categorical_accuracy: 0.9504 - val_loss: 0.1833 - val_categorical_accuracy: 0.9395 - 630ms/epoch - 4ms/step
Epoch 99/1500
141/141 - 1s - loss: 0.1337 - categorical_accuracy: 0.9543 - val_loss: 0.1823 - val_categorical_accuracy: 0.9397 - 640ms/epoch - 5ms/step
Epoch 100/1500
141/141 - 1s - loss: 0.1275 - categorical_accuracy: 0.9561 - val_loss: 0.2039 - val_categorical_accuracy: 0.9309 - 630ms/epoch - 4ms/step
Epoch 101/1500
141/141 - 1s - loss: 0.1243 - categorical_accuracy: 0.9579 - val_loss: 0.1898 - val_categorical_accuracy: 0.9363 - 630ms/epoch - 4ms/step
Epoch 102/1500
141/141 - 1s - loss: 0.2005 - categorical_accuracy: 0.9382 - val_loss: 0.1933 - val_categorical_accuracy: 0.9362 - 640ms/epoch - 5ms/step
Epoch 103/1500
141/141 - 1s - loss: 0.1187 - categorical_accuracy: 0.9607 - val_loss: 0.1743 - val_categorical_accuracy: 0.9428 - 630ms/epoch - 4ms/step
Epoch 104/1500
141/141 - 1s - loss: 0.1252 - categorical_accuracy: 0.9572 - val_loss: 0.3122 - val_categorical_accuracy: 0.9010 - 640ms/epoch - 5ms/step
Epoch 105/1500
141/141 - 1s - loss: 0.1184 - categorical_accuracy: 0.9597 - val_loss: 0.2024 - val_categorical_accuracy: 0.9325 - 630ms/epoch - 4ms/step
Epoch 106/1500
141/141 - 1s - loss: 0.2084 - categorical_accuracy: 0.9383 - val_loss: 0.2138 - val_categorical_accuracy: 0.9275 - 630ms/epoch - 4ms/step
Epoch 107/1500
141/141 - 1s - loss: 0.1188 - categorical_accuracy: 0.9605 - val_loss: 0.1658 - val_categorical_accuracy: 0.9459 - 630ms/epoch - 4ms/step
Epoch 108/1500
141/141 - 1s - loss: 0.1160 - categorical_accuracy: 0.9605 - val_loss: 0.1846 - val_categorical_accuracy: 0.9398 - 630ms/epoch - 4ms/step
Epoch 109/1500
141/141 - 1s - loss: 0.1152 - categorical_accuracy: 0.9608 - val_loss: 0.1812 - val_categorical_accuracy: 0.9414 - 640ms/epoch - 5ms/step
Epoch 110/1500
141/141 - 1s - loss: 0.1371 - categorical_accuracy: 0.9563 - val_loss: 0.2648 - val_categorical_accuracy: 0.9120 - 630ms/epoch - 4ms/step
Epoch 111/1500
141/141 - 1s - loss: 0.1408 - categorical_accuracy: 0.9546 - val_loss: 0.1917 - val_categorical_accuracy: 0.9351 - 630ms/epoch - 4ms/step
Epoch 112/1500
141/141 - 1s - loss: 0.1155 - categorical_accuracy: 0.9603 - val_loss: 0.1597 - val_categorical_accuracy: 0.9473 - 630ms/epoch - 4ms/step
Epoch 113/1500
141/141 - 1s - loss: 0.1106 - categorical_accuracy: 0.9629 - val_loss: 0.1662 - val_categorical_accuracy: 0.9444 - 630ms/epoch - 4ms/step
Epoch 114/1500
141/141 - 1s - loss: 0.1219 - categorical_accuracy: 0.9589 - val_loss: 0.1592 - val_categorical_accuracy: 0.9478 - 640ms/epoch - 5ms/step
Epoch 115/1500
141/141 - 1s - loss: 0.1100 - categorical_accuracy: 0.9627 - val_loss: 0.1677 - val_categorical_accuracy: 0.9445 - 630ms/epoch - 4ms/step
Epoch 116/1500
141/141 - 1s - loss: 0.1069 - categorical_accuracy: 0.9636 - val_loss: 0.1901 - val_categorical_accuracy: 0.9399 - 630ms/epoch - 4ms/step
Epoch 117/1500
141/141 - 1s - loss: 0.1092 - categorical_accuracy: 0.9625 - val_loss: 0.1845 - val_categorical_accuracy: 0.9385 - 630ms/epoch - 4ms/step
Epoch 118/1500
141/141 - 1s - loss: 0.1210 - categorical_accuracy: 0.9595 - val_loss: 0.1741 - val_categorical_accuracy: 0.9449 - 630ms/epoch - 4ms/step
Epoch 119/1500
141/141 - 1s - loss: 0.1135 - categorical_accuracy: 0.9614 - val_loss: 0.1604 - val_categorical_accuracy: 0.9490 - 640ms/epoch - 5ms/step
Epoch 120/1500
141/141 - 1s - loss: 0.1360 - categorical_accuracy: 0.9564 - val_loss: 0.1558 - val_categorical_accuracy: 0.9492 - 630ms/epoch - 4ms/step
Epoch 121/1500
141/141 - 1s - loss: 0.1297 - categorical_accuracy: 0.9576 - val_loss: 0.1620 - val_categorical_accuracy: 0.9477 - 630ms/epoch - 4ms/step
Epoch 122/1500
141/141 - 1s - loss: 0.1003 - categorical_accuracy: 0.9660 - val_loss: 0.1730 - val_categorical_accuracy: 0.9450 - 630ms/epoch - 4ms/step
Epoch 123/1500
141/141 - 1s - loss: 0.1063 - categorical_accuracy: 0.9641 - val_loss: 0.2447 - val_categorical_accuracy: 0.9252 - 630ms/epoch - 4ms/step
Epoch 124/1500
141/141 - 1s - loss: 0.1065 - categorical_accuracy: 0.9638 - val_loss: 0.1725 - val_categorical_accuracy: 0.9450 - 650ms/epoch - 5ms/step
Epoch 125/1500
141/141 - 1s - loss: 0.1360 - categorical_accuracy: 0.9562 - val_loss: 0.1617 - val_categorical_accuracy: 0.9462 - 630ms/epoch - 4ms/step
Epoch 126/1500
141/141 - 1s - loss: 0.0975 - categorical_accuracy: 0.9673 - val_loss: 0.1891 - val_categorical_accuracy: 0.9375 - 630ms/epoch - 4ms/step
Epoch 127/1500
141/141 - 1s - loss: 0.0992 - categorical_accuracy: 0.9664 - val_loss: 0.1678 - val_categorical_accuracy: 0.9468 - 630ms/epoch - 4ms/step
Epoch 128/1500
141/141 - 1s - loss: 0.1634 - categorical_accuracy: 0.9519 - val_loss: 0.1490 - val_categorical_accuracy: 0.9526 - 630ms/epoch - 4ms/step
Epoch 129/1500
141/141 - 1s - loss: 0.0951 - categorical_accuracy: 0.9679 - val_loss: 0.1745 - val_categorical_accuracy: 0.9448 - 640ms/epoch - 5ms/step
Epoch 130/1500
141/141 - 1s - loss: 0.1515 - categorical_accuracy: 0.9530 - val_loss: 0.2150 - val_categorical_accuracy: 0.9250 - 630ms/epoch - 4ms/step
Epoch 131/1500
141/141 - 1s - loss: 0.1001 - categorical_accuracy: 0.9665 - val_loss: 0.1883 - val_categorical_accuracy: 0.9417 - 630ms/epoch - 4ms/step
Epoch 132/1500
141/141 - 1s - loss: 0.0971 - categorical_accuracy: 0.9667 - val_loss: 0.1657 - val_categorical_accuracy: 0.9484 - 637ms/epoch - 5ms/step
Epoch 133/1500
141/141 - 1s - loss: 0.1140 - categorical_accuracy: 0.9623 - val_loss: 0.1928 - val_categorical_accuracy: 0.9374 - 630ms/epoch - 4ms/step
Epoch 134/1500
141/141 - 1s - loss: 0.1052 - categorical_accuracy: 0.9647 - val_loss: 0.1631 - val_categorical_accuracy: 0.9481 - 660ms/epoch - 5ms/step
Epoch 135/1500
141/141 - 1s - loss: 0.0942 - categorical_accuracy: 0.9679 - val_loss: 0.1783 - val_categorical_accuracy: 0.9446 - 650ms/epoch - 5ms/step
Epoch 136/1500
141/141 - 1s - loss: 0.1376 - categorical_accuracy: 0.9576 - val_loss: 0.2047 - val_categorical_accuracy: 0.9287 - 640ms/epoch - 5ms/step
Epoch 137/1500
141/141 - 1s - loss: 0.0949 - categorical_accuracy: 0.9685 - val_loss: 0.1744 - val_categorical_accuracy: 0.9434 - 630ms/epoch - 4ms/step
Epoch 138/1500
141/141 - 1s - loss: 0.1034 - categorical_accuracy: 0.9653 - val_loss: 0.1555 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 139/1500
141/141 - 1s - loss: 0.0918 - categorical_accuracy: 0.9687 - val_loss: 0.1790 - val_categorical_accuracy: 0.9420 - 630ms/epoch - 4ms/step
Epoch 140/1500
141/141 - 1s - loss: 0.0921 - categorical_accuracy: 0.9688 - val_loss: 0.1800 - val_categorical_accuracy: 0.9439 - 630ms/epoch - 4ms/step
Epoch 141/1500
141/141 - 1s - loss: 0.1111 - categorical_accuracy: 0.9635 - val_loss: 0.1564 - val_categorical_accuracy: 0.9521 - 630ms/epoch - 4ms/step
Epoch 142/1500
141/141 - 1s - loss: 0.0909 - categorical_accuracy: 0.9691 - val_loss: 0.1809 - val_categorical_accuracy: 0.9402 - 630ms/epoch - 4ms/step
Epoch 143/1500
141/141 - 1s - loss: 0.1004 - categorical_accuracy: 0.9661 - val_loss: 0.1707 - val_categorical_accuracy: 0.9475 - 630ms/epoch - 4ms/step
Epoch 144/1500
141/141 - 1s - loss: 0.1284 - categorical_accuracy: 0.9595 - val_loss: 0.1503 - val_categorical_accuracy: 0.9532 - 640ms/epoch - 5ms/step
Epoch 145/1500
141/141 - 1s - loss: 0.0952 - categorical_accuracy: 0.9675 - val_loss: 0.1531 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 146/1500
141/141 - 1s - loss: 0.1393 - categorical_accuracy: 0.9589 - val_loss: 0.2305 - val_categorical_accuracy: 0.9202 - 640ms/epoch - 5ms/step
Epoch 147/1500
141/141 - 1s - loss: 0.0930 - categorical_accuracy: 0.9691 - val_loss: 0.1559 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 148/1500
141/141 - 1s - loss: 0.0853 - categorical_accuracy: 0.9711 - val_loss: 0.1722 - val_categorical_accuracy: 0.9484 - 630ms/epoch - 4ms/step
Epoch 149/1500
141/141 - 1s - loss: 0.0857 - categorical_accuracy: 0.9706 - val_loss: 0.1721 - val_categorical_accuracy: 0.9479 - 640ms/epoch - 5ms/step
Epoch 150/1500
141/141 - 1s - loss: 0.0956 - categorical_accuracy: 0.9675 - val_loss: 0.1536 - val_categorical_accuracy: 0.9530 - 630ms/epoch - 4ms/step
Epoch 151/1500
141/141 - 1s - loss: 0.0909 - categorical_accuracy: 0.9689 - val_loss: 0.1724 - val_categorical_accuracy: 0.9460 - 630ms/epoch - 4ms/step
Epoch 152/1500
141/141 - 1s - loss: 0.0866 - categorical_accuracy: 0.9704 - val_loss: 0.2134 - val_categorical_accuracy: 0.9336 - 630ms/epoch - 4ms/step
Epoch 153/1500
141/141 - 1s - loss: 0.1484 - categorical_accuracy: 0.9550 - val_loss: 0.1567 - val_categorical_accuracy: 0.9521 - 630ms/epoch - 4ms/step
Epoch 154/1500
141/141 - 1s - loss: 0.0828 - categorical_accuracy: 0.9720 - val_loss: 0.1610 - val_categorical_accuracy: 0.9528 - 640ms/epoch - 5ms/step
Epoch 155/1500
141/141 - 1s - loss: 0.0977 - categorical_accuracy: 0.9669 - val_loss: 0.1571 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 156/1500
141/141 - 1s - loss: 0.0966 - categorical_accuracy: 0.9676 - val_loss: 0.1678 - val_categorical_accuracy: 0.9488 - 630ms/epoch - 4ms/step
Epoch 157/1500
141/141 - 1s - loss: 0.0823 - categorical_accuracy: 0.9716 - val_loss: 0.1621 - val_categorical_accuracy: 0.9503 - 630ms/epoch - 4ms/step
Epoch 158/1500
141/141 - 1s - loss: 0.0805 - categorical_accuracy: 0.9725 - val_loss: 0.1906 - val_categorical_accuracy: 0.9435 - 630ms/epoch - 4ms/step
Epoch 159/1500
141/141 - 1s - loss: 0.0955 - categorical_accuracy: 0.9674 - val_loss: 0.1644 - val_categorical_accuracy: 0.9514 - 630ms/epoch - 4ms/step
Epoch 160/1500
141/141 - 1s - loss: 0.0970 - categorical_accuracy: 0.9679 - val_loss: 0.1513 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 161/1500
141/141 - 1s - loss: 0.0794 - categorical_accuracy: 0.9732 - val_loss: 0.1813 - val_categorical_accuracy: 0.9423 - 630ms/epoch - 4ms/step
Epoch 162/1500
141/141 - 1s - loss: 0.0891 - categorical_accuracy: 0.9693 - val_loss: 0.1641 - val_categorical_accuracy: 0.9495 - 630ms/epoch - 4ms/step
Epoch 163/1500
141/141 - 1s - loss: 0.0836 - categorical_accuracy: 0.9715 - val_loss: 0.1814 - val_categorical_accuracy: 0.9433 - 630ms/epoch - 4ms/step
Epoch 164/1500
141/141 - 1s - loss: 0.0888 - categorical_accuracy: 0.9704 - val_loss: 1.6663 - val_categorical_accuracy: 0.7160 - 630ms/epoch - 4ms/step
Epoch 165/1500
141/141 - 1s - loss: 0.1690 - categorical_accuracy: 0.9522 - val_loss: 0.1558 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 166/1500
141/141 - 1s - loss: 0.0802 - categorical_accuracy: 0.9730 - val_loss: 0.1609 - val_categorical_accuracy: 0.9515 - 630ms/epoch - 4ms/step
Epoch 167/1500
141/141 - 1s - loss: 0.0837 - categorical_accuracy: 0.9714 - val_loss: 0.1595 - val_categorical_accuracy: 0.9509 - 630ms/epoch - 4ms/step
Epoch 168/1500
141/141 - 1s - loss: 0.1178 - categorical_accuracy: 0.9636 - val_loss: 0.1754 - val_categorical_accuracy: 0.9486 - 640ms/epoch - 5ms/step
Epoch 169/1500
141/141 - 1s - loss: 0.0773 - categorical_accuracy: 0.9741 - val_loss: 0.1481 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 170/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9733 - val_loss: 0.1602 - val_categorical_accuracy: 0.9531 - 630ms/epoch - 4ms/step
Epoch 171/1500
141/141 - 1s - loss: 0.1109 - categorical_accuracy: 0.9646 - val_loss: 0.1559 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 172/1500
141/141 - 1s - loss: 0.0762 - categorical_accuracy: 0.9740 - val_loss: 0.1633 - val_categorical_accuracy: 0.9508 - 630ms/epoch - 4ms/step
Epoch 173/1500
141/141 - 1s - loss: 0.1630 - categorical_accuracy: 0.9589 - val_loss: 1.7412 - val_categorical_accuracy: 0.4972 - 630ms/epoch - 4ms/step
Epoch 174/1500
141/141 - 1s - loss: 0.1585 - categorical_accuracy: 0.9464 - val_loss: 0.1585 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 175/1500
141/141 - 1s - loss: 0.0787 - categorical_accuracy: 0.9736 - val_loss: 0.1576 - val_categorical_accuracy: 0.9515 - 630ms/epoch - 4ms/step
Epoch 176/1500
141/141 - 1s - loss: 0.1121 - categorical_accuracy: 0.9653 - val_loss: 0.1603 - val_categorical_accuracy: 0.9485 - 630ms/epoch - 4ms/step
Epoch 177/1500
141/141 - 1s - loss: 0.0774 - categorical_accuracy: 0.9740 - val_loss: 0.1554 - val_categorical_accuracy: 0.9524 - 630ms/epoch - 4ms/step
Epoch 178/1500
141/141 - 1s - loss: 0.0783 - categorical_accuracy: 0.9736 - val_loss: 0.2126 - val_categorical_accuracy: 0.9395 - 630ms/epoch - 4ms/step
Epoch 179/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9690 - val_loss: 0.1602 - val_categorical_accuracy: 0.9522 - 630ms/epoch - 4ms/step
Epoch 180/1500
141/141 - 1s - loss: 0.0772 - categorical_accuracy: 0.9738 - val_loss: 0.2083 - val_categorical_accuracy: 0.9377 - 630ms/epoch - 4ms/step
Epoch 181/1500
141/141 - 1s - loss: 0.1129 - categorical_accuracy: 0.9648 - val_loss: 0.1555 - val_categorical_accuracy: 0.9517 - 630ms/epoch - 4ms/step
Epoch 182/1500
141/141 - 1s - loss: 0.0766 - categorical_accuracy: 0.9741 - val_loss: 0.1571 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 183/1500
141/141 - 1s - loss: 0.0770 - categorical_accuracy: 0.9738 - val_loss: 0.1740 - val_categorical_accuracy: 0.9503 - 630ms/epoch - 4ms/step
Epoch 184/1500
141/141 - 1s - loss: 0.0777 - categorical_accuracy: 0.9732 - val_loss: 0.1577 - val_categorical_accuracy: 0.9549 - 640ms/epoch - 5ms/step
Epoch 185/1500
141/141 - 1s - loss: 0.1000 - categorical_accuracy: 0.9674 - val_loss: 0.1806 - val_categorical_accuracy: 0.9461 - 630ms/epoch - 4ms/step
Epoch 186/1500
141/141 - 1s - loss: 0.0798 - categorical_accuracy: 0.9732 - val_loss: 0.1696 - val_categorical_accuracy: 0.9501 - 630ms/epoch - 4ms/step
Epoch 187/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9747 - val_loss: 0.1563 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 188/1500
141/141 - 1s - loss: 0.0804 - categorical_accuracy: 0.9727 - val_loss: 0.1924 - val_categorical_accuracy: 0.9426 - 630ms/epoch - 4ms/step
Epoch 189/1500
141/141 - 1s - loss: 0.0916 - categorical_accuracy: 0.9702 - val_loss: 0.1739 - val_categorical_accuracy: 0.9506 - 637ms/epoch - 5ms/step
Epoch 190/1500
141/141 - 1s - loss: 0.0859 - categorical_accuracy: 0.9707 - val_loss: 0.1535 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 191/1500
141/141 - 1s - loss: 0.0719 - categorical_accuracy: 0.9757 - val_loss: 0.1903 - val_categorical_accuracy: 0.9419 - 630ms/epoch - 4ms/step
Epoch 192/1500
141/141 - 1s - loss: 0.0739 - categorical_accuracy: 0.9749 - val_loss: 0.1979 - val_categorical_accuracy: 0.9459 - 630ms/epoch - 4ms/step
Epoch 193/1500
141/141 - 1s - loss: 0.0740 - categorical_accuracy: 0.9746 - val_loss: 0.1839 - val_categorical_accuracy: 0.9492 - 630ms/epoch - 4ms/step
Epoch 194/1500
141/141 - 1s - loss: 0.1140 - categorical_accuracy: 0.9643 - val_loss: 0.1715 - val_categorical_accuracy: 0.9485 - 630ms/epoch - 4ms/step
Epoch 195/1500
141/141 - 1s - loss: 0.0728 - categorical_accuracy: 0.9756 - val_loss: 0.1680 - val_categorical_accuracy: 0.9509 - 630ms/epoch - 4ms/step
Epoch 196/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9761 - val_loss: 0.1620 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 197/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9755 - val_loss: 0.1618 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 198/1500
141/141 - 1s - loss: 0.0745 - categorical_accuracy: 0.9743 - val_loss: 0.1584 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 199/1500
141/141 - 1s - loss: 0.0717 - categorical_accuracy: 0.9757 - val_loss: 0.1723 - val_categorical_accuracy: 0.9508 - 630ms/epoch - 4ms/step
Epoch 200/1500
141/141 - 1s - loss: 0.0923 - categorical_accuracy: 0.9701 - val_loss: 0.1533 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 201/1500
141/141 - 1s - loss: 0.0709 - categorical_accuracy: 0.9756 - val_loss: 0.1735 - val_categorical_accuracy: 0.9494 - 630ms/epoch - 4ms/step
Epoch 202/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9760 - val_loss: 0.1697 - val_categorical_accuracy: 0.9505 - 630ms/epoch - 4ms/step
Epoch 203/1500
141/141 - 1s - loss: 0.0833 - categorical_accuracy: 0.9726 - val_loss: 0.1648 - val_categorical_accuracy: 0.9526 - 630ms/epoch - 4ms/step
Epoch 204/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9774 - val_loss: 0.1605 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 205/1500
141/141 - 1s - loss: 0.0984 - categorical_accuracy: 0.9691 - val_loss: 0.1474 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 206/1500
141/141 - 1s - loss: 0.0668 - categorical_accuracy: 0.9776 - val_loss: 0.1747 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 207/1500
141/141 - 1s - loss: 0.0725 - categorical_accuracy: 0.9751 - val_loss: 0.1783 - val_categorical_accuracy: 0.9501 - 630ms/epoch - 4ms/step
Epoch 208/1500
141/141 - 1s - loss: 0.1415 - categorical_accuracy: 0.9591 - val_loss: 0.1571 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 209/1500
141/141 - 1s - loss: 0.0681 - categorical_accuracy: 0.9771 - val_loss: 0.1616 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 210/1500
141/141 - 1s - loss: 0.0750 - categorical_accuracy: 0.9745 - val_loss: 0.1521 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 211/1500
141/141 - 1s - loss: 0.0665 - categorical_accuracy: 0.9774 - val_loss: 0.1680 - val_categorical_accuracy: 0.9530 - 630ms/epoch - 4ms/step
Epoch 212/1500
141/141 - 1s - loss: 0.0701 - categorical_accuracy: 0.9758 - val_loss: 0.1532 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 213/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9768 - val_loss: 0.2061 - val_categorical_accuracy: 0.9398 - 630ms/epoch - 4ms/step
Epoch 214/1500
141/141 - 1s - loss: 0.1045 - categorical_accuracy: 0.9680 - val_loss: 0.1603 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 215/1500
141/141 - 1s - loss: 0.0678 - categorical_accuracy: 0.9768 - val_loss: 0.1698 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 216/1500
141/141 - 1s - loss: 0.1061 - categorical_accuracy: 0.9669 - val_loss: 0.1917 - val_categorical_accuracy: 0.9421 - 630ms/epoch - 4ms/step
Epoch 217/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9780 - val_loss: 0.1652 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 218/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9777 - val_loss: 0.1963 - val_categorical_accuracy: 0.9458 - 630ms/epoch - 4ms/step
Epoch 219/1500
141/141 - 1s - loss: 0.0917 - categorical_accuracy: 0.9708 - val_loss: 0.1501 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 220/1500
141/141 - 1s - loss: 0.0658 - categorical_accuracy: 0.9778 - val_loss: 0.1785 - val_categorical_accuracy: 0.9492 - 630ms/epoch - 4ms/step
Epoch 221/1500
141/141 - 1s - loss: 0.0655 - categorical_accuracy: 0.9777 - val_loss: 0.1530 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 222/1500
141/141 - 1s - loss: 0.0636 - categorical_accuracy: 0.9784 - val_loss: 0.1642 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 223/1500
141/141 - 1s - loss: 0.0709 - categorical_accuracy: 0.9758 - val_loss: 0.1584 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 224/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9744 - val_loss: 0.3062 - val_categorical_accuracy: 0.9086 - 630ms/epoch - 4ms/step
Epoch 225/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9761 - val_loss: 0.1736 - val_categorical_accuracy: 0.9523 - 630ms/epoch - 4ms/step
Epoch 226/1500
141/141 - 1s - loss: 0.0899 - categorical_accuracy: 0.9712 - val_loss: 0.1544 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 227/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9773 - val_loss: 0.1700 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 228/1500
141/141 - 1s - loss: 0.0698 - categorical_accuracy: 0.9760 - val_loss: 0.1514 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 229/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9784 - val_loss: 0.1772 - val_categorical_accuracy: 0.9491 - 660ms/epoch - 5ms/step
Epoch 230/1500
141/141 - 1s - loss: 0.0643 - categorical_accuracy: 0.9779 - val_loss: 0.1884 - val_categorical_accuracy: 0.9495 - 650ms/epoch - 5ms/step
Epoch 231/1500
141/141 - 1s - loss: 0.0647 - categorical_accuracy: 0.9778 - val_loss: 0.1645 - val_categorical_accuracy: 0.9569 - 640ms/epoch - 5ms/step
Epoch 232/1500
141/141 - 1s - loss: 0.1212 - categorical_accuracy: 0.9655 - val_loss: 0.2837 - val_categorical_accuracy: 0.9067 - 630ms/epoch - 4ms/step
Epoch 233/1500
141/141 - 1s - loss: 0.0756 - categorical_accuracy: 0.9744 - val_loss: 0.1559 - val_categorical_accuracy: 0.9553 - 640ms/epoch - 5ms/step
Epoch 234/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9776 - val_loss: 0.1524 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 235/1500
141/141 - 1s - loss: 0.0628 - categorical_accuracy: 0.9787 - val_loss: 0.1644 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 236/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9786 - val_loss: 0.1616 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 237/1500
141/141 - 1s - loss: 0.0640 - categorical_accuracy: 0.9779 - val_loss: 0.1584 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 238/1500
141/141 - 1s - loss: 0.1106 - categorical_accuracy: 0.9670 - val_loss: 0.1577 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 239/1500
141/141 - 1s - loss: 0.0637 - categorical_accuracy: 0.9785 - val_loss: 0.1555 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 240/1500
141/141 - 1s - loss: 0.0615 - categorical_accuracy: 0.9791 - val_loss: 0.1607 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 241/1500
141/141 - 1s - loss: 0.0617 - categorical_accuracy: 0.9787 - val_loss: 0.1748 - val_categorical_accuracy: 0.9498 - 630ms/epoch - 4ms/step
Epoch 242/1500
141/141 - 1s - loss: 0.0998 - categorical_accuracy: 0.9698 - val_loss: 0.1717 - val_categorical_accuracy: 0.9477 - 630ms/epoch - 4ms/step
Epoch 243/1500
141/141 - 1s - loss: 0.0639 - categorical_accuracy: 0.9783 - val_loss: 0.1724 - val_categorical_accuracy: 0.9508 - 630ms/epoch - 4ms/step
Epoch 244/1500
141/141 - 1s - loss: 0.0823 - categorical_accuracy: 0.9738 - val_loss: 0.2570 - val_categorical_accuracy: 0.9134 - 630ms/epoch - 4ms/step
Epoch 245/1500
141/141 - 1s - loss: 0.0657 - categorical_accuracy: 0.9776 - val_loss: 0.1848 - val_categorical_accuracy: 0.9502 - 630ms/epoch - 4ms/step
Epoch 246/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9797 - val_loss: 0.1544 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 247/1500
141/141 - 1s - loss: 0.0648 - categorical_accuracy: 0.9779 - val_loss: 0.1526 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 248/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9794 - val_loss: 0.1721 - val_categorical_accuracy: 0.9545 - 630ms/epoch - 4ms/step
Epoch 249/1500
141/141 - 1s - loss: 0.3378 - categorical_accuracy: 0.9067 - val_loss: 0.1770 - val_categorical_accuracy: 0.9458 - 630ms/epoch - 4ms/step
Epoch 250/1500
141/141 - 1s - loss: 0.0764 - categorical_accuracy: 0.9740 - val_loss: 0.1603 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 251/1500
141/141 - 1s - loss: 0.0660 - categorical_accuracy: 0.9776 - val_loss: 0.1717 - val_categorical_accuracy: 0.9535 - 630ms/epoch - 4ms/step
Epoch 252/1500
141/141 - 1s - loss: 0.0638 - categorical_accuracy: 0.9783 - val_loss: 0.1682 - val_categorical_accuracy: 0.9521 - 630ms/epoch - 4ms/step
Epoch 253/1500
141/141 - 1s - loss: 0.0679 - categorical_accuracy: 0.9766 - val_loss: 0.1630 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 254/1500
141/141 - 1s - loss: 0.0920 - categorical_accuracy: 0.9714 - val_loss: 0.1596 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 255/1500
141/141 - 1s - loss: 0.0625 - categorical_accuracy: 0.9787 - val_loss: 0.1588 - val_categorical_accuracy: 0.9567 - 640ms/epoch - 5ms/step
Epoch 256/1500
141/141 - 1s - loss: 0.0603 - categorical_accuracy: 0.9795 - val_loss: 0.1577 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 257/1500
141/141 - 1s - loss: 0.0618 - categorical_accuracy: 0.9787 - val_loss: 0.1593 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 258/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9790 - val_loss: 0.1686 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 259/1500
141/141 - 1s - loss: 0.0632 - categorical_accuracy: 0.9783 - val_loss: 0.1671 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 260/1500
141/141 - 1s - loss: 0.0629 - categorical_accuracy: 0.9784 - val_loss: 0.1645 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 261/1500
141/141 - 1s - loss: 0.0612 - categorical_accuracy: 0.9791 - val_loss: 0.4449 - val_categorical_accuracy: 0.8966 - 630ms/epoch - 4ms/step
Epoch 262/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9759 - val_loss: 0.1628 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 263/1500
141/141 - 1s - loss: 0.0905 - categorical_accuracy: 0.9724 - val_loss: 0.1585 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 264/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9794 - val_loss: 0.1657 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 265/1500
141/141 - 1s - loss: 0.0614 - categorical_accuracy: 0.9786 - val_loss: 0.1745 - val_categorical_accuracy: 0.9497 - 630ms/epoch - 4ms/step
Epoch 266/1500
141/141 - 1s - loss: 0.0961 - categorical_accuracy: 0.9701 - val_loss: 0.1688 - val_categorical_accuracy: 0.9536 - 630ms/epoch - 4ms/step
Epoch 267/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9801 - val_loss: 0.1607 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 268/1500
141/141 - 1s - loss: 0.0591 - categorical_accuracy: 0.9795 - val_loss: 0.1702 - val_categorical_accuracy: 0.9535 - 630ms/epoch - 4ms/step
Epoch 269/1500
141/141 - 1s - loss: 0.0579 - categorical_accuracy: 0.9801 - val_loss: 0.1785 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 270/1500
141/141 - 1s - loss: 0.0608 - categorical_accuracy: 0.9789 - val_loss: 0.1910 - val_categorical_accuracy: 0.9494 - 630ms/epoch - 4ms/step
Epoch 271/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9793 - val_loss: 0.1684 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 272/1500
141/141 - 1s - loss: 0.0576 - categorical_accuracy: 0.9802 - val_loss: 0.1782 - val_categorical_accuracy: 0.9506 - 630ms/epoch - 4ms/step
Epoch 273/1500
141/141 - 1s - loss: 0.0634 - categorical_accuracy: 0.9779 - val_loss: 0.1895 - val_categorical_accuracy: 0.9513 - 630ms/epoch - 4ms/step
Epoch 274/1500
141/141 - 1s - loss: 0.1194 - categorical_accuracy: 0.9650 - val_loss: 0.1513 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 275/1500
141/141 - 1s - loss: 0.0715 - categorical_accuracy: 0.9768 - val_loss: 0.1567 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 276/1500
141/141 - 1s - loss: 0.0573 - categorical_accuracy: 0.9806 - val_loss: 0.1743 - val_categorical_accuracy: 0.9515 - 630ms/epoch - 4ms/step
Epoch 277/1500
141/141 - 1s - loss: 0.0580 - categorical_accuracy: 0.9800 - val_loss: 0.2212 - val_categorical_accuracy: 0.9419 - 640ms/epoch - 5ms/step
Epoch 278/1500
141/141 - 1s - loss: 0.0786 - categorical_accuracy: 0.9737 - val_loss: 0.1630 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 279/1500
141/141 - 1s - loss: 0.0587 - categorical_accuracy: 0.9798 - val_loss: 0.1755 - val_categorical_accuracy: 0.9530 - 630ms/epoch - 4ms/step
Epoch 280/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9793 - val_loss: 0.1599 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 281/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9810 - val_loss: 0.1785 - val_categorical_accuracy: 0.9531 - 630ms/epoch - 4ms/step
Epoch 282/1500
141/141 - 1s - loss: 0.0602 - categorical_accuracy: 0.9791 - val_loss: 0.1904 - val_categorical_accuracy: 0.9467 - 630ms/epoch - 4ms/step
Epoch 283/1500
141/141 - 1s - loss: 0.0605 - categorical_accuracy: 0.9788 - val_loss: 0.2017 - val_categorical_accuracy: 0.9494 - 630ms/epoch - 4ms/step
Epoch 284/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9806 - val_loss: 0.1690 - val_categorical_accuracy: 0.9570 - 634ms/epoch - 4ms/step
Epoch 285/1500
141/141 - 1s - loss: 0.0571 - categorical_accuracy: 0.9802 - val_loss: 0.1700 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 286/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9802 - val_loss: 0.1738 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 287/1500
141/141 - 1s - loss: 0.1541 - categorical_accuracy: 0.9625 - val_loss: 0.6713 - val_categorical_accuracy: 0.7605 - 630ms/epoch - 4ms/step
Epoch 288/1500
141/141 - 1s - loss: 0.1216 - categorical_accuracy: 0.9580 - val_loss: 0.1582 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 289/1500
141/141 - 1s - loss: 0.0584 - categorical_accuracy: 0.9797 - val_loss: 0.1580 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 290/1500
141/141 - 1s - loss: 0.0575 - categorical_accuracy: 0.9802 - val_loss: 0.1586 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 291/1500
141/141 - 1s - loss: 0.0570 - categorical_accuracy: 0.9803 - val_loss: 0.1661 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 292/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9799 - val_loss: 0.1669 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 293/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9803 - val_loss: 0.1633 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 294/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9811 - val_loss: 0.1606 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 295/1500
141/141 - 1s - loss: 0.0989 - categorical_accuracy: 0.9704 - val_loss: 0.1734 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 296/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9813 - val_loss: 0.1641 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 297/1500
141/141 - 1s - loss: 0.0553 - categorical_accuracy: 0.9808 - val_loss: 0.1626 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 298/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9814 - val_loss: 0.1675 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 299/1500
141/141 - 1s - loss: 0.0552 - categorical_accuracy: 0.9809 - val_loss: 0.1986 - val_categorical_accuracy: 0.9461 - 640ms/epoch - 5ms/step
Epoch 300/1500
141/141 - 1s - loss: 0.0757 - categorical_accuracy: 0.9751 - val_loss: 0.1604 - val_categorical_accuracy: 0.9553 - 640ms/epoch - 5ms/step
Epoch 301/1500
141/141 - 1s - loss: 0.0565 - categorical_accuracy: 0.9805 - val_loss: 0.1668 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 302/1500
141/141 - 1s - loss: 0.0551 - categorical_accuracy: 0.9808 - val_loss: 0.1709 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 303/1500
141/141 - 1s - loss: 0.0564 - categorical_accuracy: 0.9805 - val_loss: 0.1864 - val_categorical_accuracy: 0.9510 - 630ms/epoch - 4ms/step
Epoch 304/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9809 - val_loss: 0.1676 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 305/1500
141/141 - 1s - loss: 0.0561 - categorical_accuracy: 0.9807 - val_loss: 0.1799 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 306/1500
141/141 - 1s - loss: 0.0661 - categorical_accuracy: 0.9772 - val_loss: 0.1747 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 307/1500
141/141 - 1s - loss: 0.0673 - categorical_accuracy: 0.9770 - val_loss: 0.1566 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 308/1500
141/141 - 1s - loss: 0.0540 - categorical_accuracy: 0.9811 - val_loss: 0.1703 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 309/1500
141/141 - 1s - loss: 0.0550 - categorical_accuracy: 0.9808 - val_loss: 0.1775 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 310/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9812 - val_loss: 0.1714 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 311/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9808 - val_loss: 0.1658 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 312/1500
141/141 - 1s - loss: 0.0572 - categorical_accuracy: 0.9801 - val_loss: 0.1740 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 313/1500
141/141 - 1s - loss: 0.0588 - categorical_accuracy: 0.9796 - val_loss: 0.2335 - val_categorical_accuracy: 0.9427 - 630ms/epoch - 4ms/step
Epoch 314/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9803 - val_loss: 0.1738 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 315/1500
141/141 - 1s - loss: 0.0556 - categorical_accuracy: 0.9808 - val_loss: 0.1711 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 316/1500
141/141 - 1s - loss: 0.1892 - categorical_accuracy: 0.9478 - val_loss: 0.1690 - val_categorical_accuracy: 0.9498 - 630ms/epoch - 4ms/step
Epoch 317/1500
141/141 - 1s - loss: 0.0597 - categorical_accuracy: 0.9798 - val_loss: 0.1609 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 318/1500
141/141 - 1s - loss: 0.0535 - categorical_accuracy: 0.9816 - val_loss: 0.1709 - val_categorical_accuracy: 0.9567 - 640ms/epoch - 5ms/step
Epoch 319/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9810 - val_loss: 0.1671 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 320/1500
141/141 - 1s - loss: 0.0532 - categorical_accuracy: 0.9815 - val_loss: 0.1912 - val_categorical_accuracy: 0.9498 - 630ms/epoch - 4ms/step
Epoch 321/1500
141/141 - 1s - loss: 0.0857 - categorical_accuracy: 0.9738 - val_loss: 0.1598 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 322/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9820 - val_loss: 0.1722 - val_categorical_accuracy: 0.9554 - 630ms/epoch - 4ms/step
Epoch 323/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9810 - val_loss: 0.1800 - val_categorical_accuracy: 0.9550 - 630ms/epoch - 4ms/step
Epoch 324/1500
141/141 - 1s - loss: 0.0539 - categorical_accuracy: 0.9814 - val_loss: 0.1815 - val_categorical_accuracy: 0.9539 - 650ms/epoch - 5ms/step
Epoch 325/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9808 - val_loss: 0.2365 - val_categorical_accuracy: 0.9383 - 650ms/epoch - 5ms/step
Epoch 326/1500
141/141 - 1s - loss: 0.0631 - categorical_accuracy: 0.9787 - val_loss: 0.1736 - val_categorical_accuracy: 0.9550 - 650ms/epoch - 5ms/step
Epoch 327/1500
141/141 - 1s - loss: 0.0554 - categorical_accuracy: 0.9807 - val_loss: 0.1682 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 328/1500
141/141 - 1s - loss: 0.0527 - categorical_accuracy: 0.9818 - val_loss: 0.1670 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 329/1500
141/141 - 1s - loss: 0.0533 - categorical_accuracy: 0.9816 - val_loss: 0.1739 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 330/1500
141/141 - 1s - loss: 0.0548 - categorical_accuracy: 0.9806 - val_loss: 0.1821 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 331/1500
141/141 - 1s - loss: 0.0902 - categorical_accuracy: 0.9750 - val_loss: 0.6530 - val_categorical_accuracy: 0.8226 - 630ms/epoch - 4ms/step
Epoch 332/1500
141/141 - 1s - loss: 0.0716 - categorical_accuracy: 0.9753 - val_loss: 0.1638 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 333/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9828 - val_loss: 0.1595 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 334/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9816 - val_loss: 0.1681 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 335/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9819 - val_loss: 0.1626 - val_categorical_accuracy: 0.9595 - 620ms/epoch - 4ms/step
Epoch 336/1500
141/141 - 1s - loss: 0.0520 - categorical_accuracy: 0.9816 - val_loss: 0.1802 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 337/1500
141/141 - 1s - loss: 0.0526 - categorical_accuracy: 0.9816 - val_loss: 0.1896 - val_categorical_accuracy: 0.9516 - 630ms/epoch - 4ms/step
Epoch 338/1500
141/141 - 1s - loss: 0.0855 - categorical_accuracy: 0.9733 - val_loss: 0.1770 - val_categorical_accuracy: 0.9557 - 640ms/epoch - 5ms/step
Epoch 339/1500
141/141 - 1s - loss: 0.0502 - categorical_accuracy: 0.9825 - val_loss: 0.1704 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 340/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9809 - val_loss: 0.1732 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 341/1500
141/141 - 1s - loss: 0.0777 - categorical_accuracy: 0.9760 - val_loss: 0.1981 - val_categorical_accuracy: 0.9417 - 630ms/epoch - 4ms/step
Epoch 342/1500
141/141 - 1s - loss: 0.0566 - categorical_accuracy: 0.9805 - val_loss: 0.1935 - val_categorical_accuracy: 0.9518 - 650ms/epoch - 5ms/step
Epoch 343/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9823 - val_loss: 0.1705 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 344/1500
141/141 - 1s - loss: 0.0537 - categorical_accuracy: 0.9812 - val_loss: 0.2249 - val_categorical_accuracy: 0.9424 - 630ms/epoch - 4ms/step
Epoch 345/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9818 - val_loss: 0.1996 - val_categorical_accuracy: 0.9485 - 630ms/epoch - 4ms/step
Epoch 346/1500
141/141 - 1s - loss: 0.0549 - categorical_accuracy: 0.9810 - val_loss: 0.1831 - val_categorical_accuracy: 0.9512 - 630ms/epoch - 4ms/step
Epoch 347/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9811 - val_loss: 0.1728 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 348/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9827 - val_loss: 0.2067 - val_categorical_accuracy: 0.9507 - 630ms/epoch - 4ms/step
Epoch 349/1500
141/141 - 1s - loss: 0.0937 - categorical_accuracy: 0.9716 - val_loss: 0.1648 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 350/1500
141/141 - 1s - loss: 0.0501 - categorical_accuracy: 0.9827 - val_loss: 0.1756 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 351/1500
141/141 - 1s - loss: 0.0503 - categorical_accuracy: 0.9822 - val_loss: 0.1668 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 352/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9820 - val_loss: 0.1808 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 353/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9824 - val_loss: 0.1756 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 354/1500
141/141 - 1s - loss: 0.1231 - categorical_accuracy: 0.9661 - val_loss: 0.1893 - val_categorical_accuracy: 0.9408 - 630ms/epoch - 4ms/step
Epoch 355/1500
141/141 - 1s - loss: 0.0592 - categorical_accuracy: 0.9797 - val_loss: 0.1625 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 356/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9824 - val_loss: 0.1718 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 357/1500
141/141 - 1s - loss: 0.0512 - categorical_accuracy: 0.9824 - val_loss: 0.1748 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 358/1500
141/141 - 1s - loss: 0.0499 - categorical_accuracy: 0.9827 - val_loss: 0.1854 - val_categorical_accuracy: 0.9538 - 640ms/epoch - 5ms/step
Epoch 359/1500
141/141 - 1s - loss: 0.0508 - categorical_accuracy: 0.9821 - val_loss: 0.1774 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 360/1500
141/141 - 1s - loss: 0.0495 - categorical_accuracy: 0.9827 - val_loss: 0.1779 - val_categorical_accuracy: 0.9541 - 630ms/epoch - 4ms/step
Epoch 361/1500
141/141 - 1s - loss: 0.0543 - categorical_accuracy: 0.9808 - val_loss: 0.1880 - val_categorical_accuracy: 0.9530 - 630ms/epoch - 4ms/step
Epoch 362/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9817 - val_loss: 0.1735 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 363/1500
141/141 - 1s - loss: 0.0734 - categorical_accuracy: 0.9770 - val_loss: 0.1998 - val_categorical_accuracy: 0.9441 - 630ms/epoch - 4ms/step
Epoch 364/1500
141/141 - 1s - loss: 0.0525 - categorical_accuracy: 0.9818 - val_loss: 0.1732 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 365/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9829 - val_loss: 0.1718 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 366/1500
141/141 - 1s - loss: 0.0895 - categorical_accuracy: 0.9729 - val_loss: 0.1543 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 367/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9829 - val_loss: 0.1750 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 368/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9830 - val_loss: 0.1838 - val_categorical_accuracy: 0.9518 - 640ms/epoch - 5ms/step
Epoch 369/1500
141/141 - 1s - loss: 0.0528 - categorical_accuracy: 0.9818 - val_loss: 0.1670 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 370/1500
141/141 - 1s - loss: 0.0510 - categorical_accuracy: 0.9821 - val_loss: 0.1787 - val_categorical_accuracy: 0.9549 - 630ms/epoch - 4ms/step
Epoch 371/1500
141/141 - 1s - loss: 0.0500 - categorical_accuracy: 0.9824 - val_loss: 0.1971 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 372/1500
141/141 - 1s - loss: 0.0662 - categorical_accuracy: 0.9780 - val_loss: 0.6346 - val_categorical_accuracy: 0.8587 - 620ms/epoch - 4ms/step
Epoch 373/1500
141/141 - 1s - loss: 0.0630 - categorical_accuracy: 0.9786 - val_loss: 0.1675 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 374/1500
141/141 - 1s - loss: 0.0488 - categorical_accuracy: 0.9828 - val_loss: 0.1813 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 375/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9825 - val_loss: 0.1811 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 376/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9826 - val_loss: 0.1730 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 377/1500
141/141 - 1s - loss: 0.0819 - categorical_accuracy: 0.9742 - val_loss: 0.2024 - val_categorical_accuracy: 0.9418 - 630ms/epoch - 4ms/step
Epoch 378/1500
141/141 - 1s - loss: 0.0519 - categorical_accuracy: 0.9820 - val_loss: 0.1682 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 379/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1690 - val_categorical_accuracy: 0.9601 - 631ms/epoch - 4ms/step
Epoch 380/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9828 - val_loss: 0.1797 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 381/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9828 - val_loss: 0.1690 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 382/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9828 - val_loss: 0.1847 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 383/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9830 - val_loss: 0.1771 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 384/1500
141/141 - 1s - loss: 0.0507 - categorical_accuracy: 0.9820 - val_loss: 0.1766 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 385/1500
141/141 - 1s - loss: 0.0504 - categorical_accuracy: 0.9822 - val_loss: 0.1735 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 386/1500
141/141 - 1s - loss: 0.1000 - categorical_accuracy: 0.9704 - val_loss: 0.1655 - val_categorical_accuracy: 0.9560 - 640ms/epoch - 5ms/step
Epoch 387/1500
141/141 - 1s - loss: 0.0490 - categorical_accuracy: 0.9829 - val_loss: 0.1790 - val_categorical_accuracy: 0.9572 - 630ms/epoch - 4ms/step
Epoch 388/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9833 - val_loss: 0.1717 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 389/1500
141/141 - 1s - loss: 0.0542 - categorical_accuracy: 0.9812 - val_loss: 0.1650 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 390/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9837 - val_loss: 0.1721 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 391/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9832 - val_loss: 0.1694 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 392/1500
141/141 - 1s - loss: 0.0818 - categorical_accuracy: 0.9749 - val_loss: 0.1651 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 393/1500
141/141 - 1s - loss: 0.0484 - categorical_accuracy: 0.9830 - val_loss: 0.1879 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 394/1500
141/141 - 1s - loss: 0.0477 - categorical_accuracy: 0.9832 - val_loss: 0.1837 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 395/1500
141/141 - 1s - loss: 0.0487 - categorical_accuracy: 0.9831 - val_loss: 0.1757 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 396/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9827 - val_loss: 0.1714 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 397/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9832 - val_loss: 0.1726 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 398/1500
141/141 - 1s - loss: 0.0486 - categorical_accuracy: 0.9826 - val_loss: 0.1879 - val_categorical_accuracy: 0.9539 - 630ms/epoch - 4ms/step
Epoch 399/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9828 - val_loss: 0.1759 - val_categorical_accuracy: 0.9594 - 620ms/epoch - 4ms/step
Epoch 400/1500
141/141 - 1s - loss: 0.0531 - categorical_accuracy: 0.9812 - val_loss: 0.1850 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 401/1500
141/141 - 1s - loss: 0.0988 - categorical_accuracy: 0.9732 - val_loss: 0.3671 - val_categorical_accuracy: 0.8793 - 630ms/epoch - 4ms/step
Epoch 402/1500
141/141 - 1s - loss: 0.0700 - categorical_accuracy: 0.9758 - val_loss: 0.1676 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 403/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9833 - val_loss: 0.1673 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 404/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9838 - val_loss: 0.1923 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 405/1500
141/141 - 1s - loss: 0.0480 - categorical_accuracy: 0.9832 - val_loss: 0.1821 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 406/1500
141/141 - 1s - loss: 0.1822 - categorical_accuracy: 0.9502 - val_loss: 0.1697 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 407/1500
141/141 - 1s - loss: 0.0559 - categorical_accuracy: 0.9811 - val_loss: 0.1896 - val_categorical_accuracy: 0.9504 - 630ms/epoch - 4ms/step
Epoch 408/1500
141/141 - 1s - loss: 0.0489 - categorical_accuracy: 0.9831 - val_loss: 0.1753 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 409/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9837 - val_loss: 0.1714 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 410/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9834 - val_loss: 0.1710 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 411/1500
141/141 - 1s - loss: 0.0476 - categorical_accuracy: 0.9834 - val_loss: 0.1709 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 412/1500
141/141 - 1s - loss: 0.0468 - categorical_accuracy: 0.9836 - val_loss: 0.1881 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 413/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9831 - val_loss: 0.1754 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 414/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9836 - val_loss: 0.1811 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 415/1500
141/141 - 1s - loss: 0.0917 - categorical_accuracy: 0.9736 - val_loss: 0.1750 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 416/1500
141/141 - 1s - loss: 0.0491 - categorical_accuracy: 0.9828 - val_loss: 0.1764 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 417/1500
141/141 - 1s - loss: 0.0494 - categorical_accuracy: 0.9826 - val_loss: 0.1726 - val_categorical_accuracy: 0.9571 - 640ms/epoch - 5ms/step
Epoch 418/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9835 - val_loss: 0.1717 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 419/1500
141/141 - 1s - loss: 0.0514 - categorical_accuracy: 0.9818 - val_loss: 0.1836 - val_categorical_accuracy: 0.9540 - 650ms/epoch - 5ms/step
Epoch 420/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9833 - val_loss: 0.1774 - val_categorical_accuracy: 0.9582 - 650ms/epoch - 5ms/step
Epoch 421/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9838 - val_loss: 0.1820 - val_categorical_accuracy: 0.9553 - 640ms/epoch - 5ms/step
Epoch 422/1500
141/141 - 1s - loss: 0.0473 - categorical_accuracy: 0.9832 - val_loss: 0.1778 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 423/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9837 - val_loss: 0.2590 - val_categorical_accuracy: 0.9360 - 630ms/epoch - 4ms/step
Epoch 424/1500
141/141 - 1s - loss: 0.0996 - categorical_accuracy: 0.9708 - val_loss: 0.1716 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 425/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9841 - val_loss: 0.1806 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 426/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9842 - val_loss: 0.1651 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 427/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9838 - val_loss: 0.1799 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 428/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9837 - val_loss: 0.1829 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 429/1500
141/141 - 1s - loss: 0.0555 - categorical_accuracy: 0.9809 - val_loss: 0.1769 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 430/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9838 - val_loss: 0.2092 - val_categorical_accuracy: 0.9469 - 640ms/epoch - 5ms/step
Epoch 431/1500
141/141 - 1s - loss: 0.0594 - categorical_accuracy: 0.9798 - val_loss: 0.1709 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 432/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9831 - val_loss: 0.1759 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 433/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9844 - val_loss: 0.1820 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 434/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.2196 - val_categorical_accuracy: 0.9456 - 630ms/epoch - 4ms/step
Epoch 435/1500
141/141 - 1s - loss: 0.1333 - categorical_accuracy: 0.9629 - val_loss: 0.1598 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 436/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9840 - val_loss: 0.1603 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 437/1500
141/141 - 1s - loss: 0.0447 - categorical_accuracy: 0.9842 - val_loss: 0.1745 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 438/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9841 - val_loss: 0.1809 - val_categorical_accuracy: 0.9551 - 630ms/epoch - 4ms/step
Epoch 439/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9766 - val_loss: 0.1650 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 440/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9841 - val_loss: 0.1770 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 441/1500
141/141 - 1s - loss: 0.0467 - categorical_accuracy: 0.9835 - val_loss: 0.1717 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 442/1500
141/141 - 1s - loss: 0.0463 - categorical_accuracy: 0.9837 - val_loss: 0.1915 - val_categorical_accuracy: 0.9498 - 630ms/epoch - 4ms/step
Epoch 443/1500
141/141 - 1s - loss: 0.0478 - categorical_accuracy: 0.9828 - val_loss: 0.1785 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 444/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9838 - val_loss: 0.1665 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 445/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9835 - val_loss: 0.1953 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 446/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9838 - val_loss: 0.1829 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 447/1500
141/141 - 1s - loss: 0.0455 - categorical_accuracy: 0.9839 - val_loss: 0.1817 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 448/1500
141/141 - 1s - loss: 0.0493 - categorical_accuracy: 0.9828 - val_loss: 0.2282 - val_categorical_accuracy: 0.9405 - 630ms/epoch - 4ms/step
Epoch 449/1500
141/141 - 1s - loss: 0.0731 - categorical_accuracy: 0.9763 - val_loss: 0.1699 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 450/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.1764 - val_categorical_accuracy: 0.9562 - 630ms/epoch - 4ms/step
Epoch 451/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9845 - val_loss: 0.1869 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 452/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.2063 - val_categorical_accuracy: 0.9486 - 640ms/epoch - 5ms/step
Epoch 453/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9842 - val_loss: 0.1820 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 454/1500
141/141 - 1s - loss: 0.0458 - categorical_accuracy: 0.9837 - val_loss: 0.1933 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 455/1500
141/141 - 1s - loss: 0.0464 - categorical_accuracy: 0.9834 - val_loss: 0.1816 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 456/1500
141/141 - 1s - loss: 0.0449 - categorical_accuracy: 0.9840 - val_loss: 0.1802 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 457/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9841 - val_loss: 0.1818 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 458/1500
141/141 - 1s - loss: 0.0718 - categorical_accuracy: 0.9762 - val_loss: 0.1753 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 459/1500
141/141 - 1s - loss: 0.0460 - categorical_accuracy: 0.9839 - val_loss: 0.1673 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 460/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9841 - val_loss: 0.2168 - val_categorical_accuracy: 0.9456 - 630ms/epoch - 4ms/step
Epoch 461/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.1696 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 462/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.1965 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 463/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9837 - val_loss: 0.1780 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 464/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1666 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 465/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.1832 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 466/1500
141/141 - 1s - loss: 0.0472 - categorical_accuracy: 0.9830 - val_loss: 0.1732 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 467/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9841 - val_loss: 0.1948 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 468/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9839 - val_loss: 0.1823 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 469/1500
141/141 - 1s - loss: 0.0469 - categorical_accuracy: 0.9835 - val_loss: 0.2013 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 470/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.1877 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 471/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9836 - val_loss: 0.2048 - val_categorical_accuracy: 0.9531 - 630ms/epoch - 4ms/step
Epoch 472/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9836 - val_loss: 0.1873 - val_categorical_accuracy: 0.9571 - 640ms/epoch - 5ms/step
Epoch 473/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9838 - val_loss: 0.1823 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 474/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.2022 - val_categorical_accuracy: 0.9515 - 632ms/epoch - 4ms/step
Epoch 475/1500
141/141 - 1s - loss: 0.0465 - categorical_accuracy: 0.9834 - val_loss: 0.2015 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 476/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9846 - val_loss: 0.1857 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 477/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9834 - val_loss: 0.1868 - val_categorical_accuracy: 0.9549 - 640ms/epoch - 5ms/step
Epoch 478/1500
141/141 - 1s - loss: 0.0451 - categorical_accuracy: 0.9838 - val_loss: 0.1799 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 479/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9840 - val_loss: 0.1868 - val_categorical_accuracy: 0.9566 - 630ms/epoch - 4ms/step
Epoch 480/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9841 - val_loss: 0.1945 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 481/1500
141/141 - 1s - loss: 0.0459 - categorical_accuracy: 0.9837 - val_loss: 0.1789 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 482/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9843 - val_loss: 0.1821 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 483/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9841 - val_loss: 0.1848 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 484/1500
141/141 - 1s - loss: 0.2220 - categorical_accuracy: 0.9419 - val_loss: 0.1650 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 485/1500
141/141 - 1s - loss: 0.0521 - categorical_accuracy: 0.9819 - val_loss: 0.1646 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 486/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9836 - val_loss: 0.1772 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 487/1500
141/141 - 1s - loss: 0.0450 - categorical_accuracy: 0.9842 - val_loss: 0.1756 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 488/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9841 - val_loss: 0.1970 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 489/1500
141/141 - 1s - loss: 0.0442 - categorical_accuracy: 0.9841 - val_loss: 0.1947 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 490/1500
141/141 - 1s - loss: 0.0453 - categorical_accuracy: 0.9838 - val_loss: 0.1740 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 491/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.2555 - val_categorical_accuracy: 0.9401 - 630ms/epoch - 4ms/step
Epoch 492/1500
141/141 - 1s - loss: 0.1164 - categorical_accuracy: 0.9673 - val_loss: 0.1687 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 493/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9848 - val_loss: 0.1662 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 494/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9850 - val_loss: 0.1680 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 495/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9842 - val_loss: 0.1987 - val_categorical_accuracy: 0.9538 - 650ms/epoch - 5ms/step
Epoch 496/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9844 - val_loss: 0.1907 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 497/1500
141/141 - 1s - loss: 0.0466 - categorical_accuracy: 0.9833 - val_loss: 0.2805 - val_categorical_accuracy: 0.9382 - 630ms/epoch - 4ms/step
Epoch 498/1500
141/141 - 1s - loss: 0.0482 - categorical_accuracy: 0.9830 - val_loss: 0.1833 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 499/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1921 - val_categorical_accuracy: 0.9532 - 630ms/epoch - 4ms/step
Epoch 500/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.2544 - val_categorical_accuracy: 0.9431 - 630ms/epoch - 4ms/step
Epoch 501/1500
141/141 - 1s - loss: 0.0483 - categorical_accuracy: 0.9828 - val_loss: 0.1974 - val_categorical_accuracy: 0.9553 - 630ms/epoch - 4ms/step
Epoch 502/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9844 - val_loss: 0.1750 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 503/1500
141/141 - 1s - loss: 0.0446 - categorical_accuracy: 0.9842 - val_loss: 0.1878 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 504/1500
141/141 - 1s - loss: 0.0427 - categorical_accuracy: 0.9847 - val_loss: 0.1769 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 505/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9843 - val_loss: 0.2245 - val_categorical_accuracy: 0.9491 - 630ms/epoch - 4ms/step
Epoch 506/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9831 - val_loss: 0.1830 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 507/1500
141/141 - 1s - loss: 0.0420 - categorical_accuracy: 0.9848 - val_loss: 0.1776 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 508/1500
141/141 - 1s - loss: 0.0448 - categorical_accuracy: 0.9840 - val_loss: 0.1992 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 509/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1894 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 510/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9840 - val_loss: 0.2052 - val_categorical_accuracy: 0.9527 - 630ms/epoch - 4ms/step
Epoch 511/1500
141/141 - 1s - loss: 0.0475 - categorical_accuracy: 0.9830 - val_loss: 0.1780 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 512/1500
141/141 - 1s - loss: 0.0444 - categorical_accuracy: 0.9842 - val_loss: 0.1912 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 513/1500
141/141 - 1s - loss: 0.0439 - categorical_accuracy: 0.9845 - val_loss: 0.1900 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 514/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.1951 - val_categorical_accuracy: 0.9564 - 650ms/epoch - 5ms/step
Epoch 515/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9847 - val_loss: 0.1951 - val_categorical_accuracy: 0.9571 - 640ms/epoch - 5ms/step
Epoch 516/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9841 - val_loss: 0.1949 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 517/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1814 - val_categorical_accuracy: 0.9590 - 840ms/epoch - 6ms/step
Epoch 518/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9846 - val_loss: 0.1858 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 519/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.1917 - val_categorical_accuracy: 0.9588 - 640ms/epoch - 5ms/step
Epoch 520/1500
141/141 - 1s - loss: 0.1644 - categorical_accuracy: 0.9559 - val_loss: 0.1686 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 521/1500
141/141 - 1s - loss: 0.0457 - categorical_accuracy: 0.9839 - val_loss: 0.1732 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 522/1500
141/141 - 1s - loss: 0.0429 - categorical_accuracy: 0.9849 - val_loss: 0.1735 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 523/1500
141/141 - 1s - loss: 0.1307 - categorical_accuracy: 0.9643 - val_loss: 0.1659 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 524/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9838 - val_loss: 0.1751 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 525/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9848 - val_loss: 0.1716 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 526/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.1704 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 527/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9845 - val_loss: 0.1750 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 528/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9852 - val_loss: 0.1757 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 529/1500
141/141 - 1s - loss: 0.0436 - categorical_accuracy: 0.9844 - val_loss: 0.2011 - val_categorical_accuracy: 0.9539 - 640ms/epoch - 5ms/step
Epoch 530/1500
141/141 - 1s - loss: 0.0422 - categorical_accuracy: 0.9850 - val_loss: 0.1802 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 531/1500
141/141 - 1s - loss: 0.0734 - categorical_accuracy: 0.9774 - val_loss: 0.1721 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 532/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9852 - val_loss: 0.1821 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 533/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.1666 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 534/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9839 - val_loss: 0.1800 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 535/1500
141/141 - 1s - loss: 0.0438 - categorical_accuracy: 0.9845 - val_loss: 0.1891 - val_categorical_accuracy: 0.9549 - 640ms/epoch - 5ms/step
Epoch 536/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.1700 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 537/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.1776 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 538/1500
141/141 - 1s - loss: 0.0445 - categorical_accuracy: 0.9843 - val_loss: 0.1848 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 539/1500
141/141 - 1s - loss: 0.0432 - categorical_accuracy: 0.9846 - val_loss: 0.1752 - val_categorical_accuracy: 0.9598 - 650ms/epoch - 5ms/step
Epoch 540/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9854 - val_loss: 0.1856 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 541/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9848 - val_loss: 0.1923 - val_categorical_accuracy: 0.9576 - 650ms/epoch - 5ms/step
Epoch 542/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1797 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 543/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.1785 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 544/1500
141/141 - 1s - loss: 0.0880 - categorical_accuracy: 0.9748 - val_loss: 0.1705 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 545/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9846 - val_loss: 0.1924 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 546/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9856 - val_loss: 0.1778 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 547/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.1746 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 548/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1733 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 549/1500
141/141 - 1s - loss: 0.0417 - categorical_accuracy: 0.9850 - val_loss: 0.1873 - val_categorical_accuracy: 0.9572 - 640ms/epoch - 5ms/step
Epoch 550/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9847 - val_loss: 0.1959 - val_categorical_accuracy: 0.9559 - 640ms/epoch - 5ms/step
Epoch 551/1500
141/141 - 1s - loss: 0.0768 - categorical_accuracy: 0.9767 - val_loss: 0.1696 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 552/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1802 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 553/1500
141/141 - 1s - loss: 0.0408 - categorical_accuracy: 0.9854 - val_loss: 0.1851 - val_categorical_accuracy: 0.9579 - 640ms/epoch - 5ms/step
Epoch 554/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1846 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 555/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.1887 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 556/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.2124 - val_categorical_accuracy: 0.9536 - 640ms/epoch - 5ms/step
Epoch 557/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.2278 - val_categorical_accuracy: 0.9495 - 640ms/epoch - 5ms/step
Epoch 558/1500
141/141 - 1s - loss: 0.0800 - categorical_accuracy: 0.9759 - val_loss: 0.1679 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 559/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9855 - val_loss: 0.1827 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 560/1500
141/141 - 1s - loss: 0.0412 - categorical_accuracy: 0.9851 - val_loss: 0.1707 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 561/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.2194 - val_categorical_accuracy: 0.9504 - 650ms/epoch - 5ms/step
Epoch 562/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9849 - val_loss: 0.1839 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 563/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9857 - val_loss: 0.1834 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 564/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9850 - val_loss: 0.1809 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 565/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9851 - val_loss: 0.1854 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 566/1500
141/141 - 1s - loss: 0.0414 - categorical_accuracy: 0.9852 - val_loss: 0.1848 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 567/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9850 - val_loss: 0.1788 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 568/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1860 - val_categorical_accuracy: 0.9611 - 635ms/epoch - 5ms/step
Epoch 569/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1960 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 570/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1766 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 571/1500
141/141 - 1s - loss: 0.0416 - categorical_accuracy: 0.9849 - val_loss: 0.1934 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 572/1500
141/141 - 1s - loss: 0.0953 - categorical_accuracy: 0.9726 - val_loss: 0.1824 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 573/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9850 - val_loss: 0.1753 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 574/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1792 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 575/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9856 - val_loss: 0.2111 - val_categorical_accuracy: 0.9517 - 640ms/epoch - 5ms/step
Epoch 576/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9853 - val_loss: 0.1944 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 577/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9858 - val_loss: 0.1960 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 578/1500
141/141 - 1s - loss: 0.0797 - categorical_accuracy: 0.9766 - val_loss: 0.1764 - val_categorical_accuracy: 0.9517 - 640ms/epoch - 5ms/step
Epoch 579/1500
141/141 - 1s - loss: 0.0452 - categorical_accuracy: 0.9840 - val_loss: 0.1826 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 580/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9858 - val_loss: 0.1737 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 581/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.2004 - val_categorical_accuracy: 0.9525 - 640ms/epoch - 5ms/step
Epoch 582/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9847 - val_loss: 0.1801 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 583/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.1937 - val_categorical_accuracy: 0.9572 - 640ms/epoch - 5ms/step
Epoch 584/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9852 - val_loss: 0.1813 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 585/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9857 - val_loss: 0.1879 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 586/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9855 - val_loss: 0.1875 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 587/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9855 - val_loss: 0.1934 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 588/1500
141/141 - 1s - loss: 0.1315 - categorical_accuracy: 0.9629 - val_loss: 0.1715 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 589/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.1649 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 590/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9862 - val_loss: 0.1814 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 591/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9854 - val_loss: 0.1962 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 592/1500
141/141 - 1s - loss: 0.0415 - categorical_accuracy: 0.9852 - val_loss: 0.1820 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 593/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9864 - val_loss: 0.1925 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 594/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9851 - val_loss: 0.1819 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 595/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9854 - val_loss: 0.1870 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 596/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1835 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 597/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.1890 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 598/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.1841 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 599/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9850 - val_loss: 0.2158 - val_categorical_accuracy: 0.9541 - 640ms/epoch - 5ms/step
Epoch 600/1500
141/141 - 1s - loss: 0.0435 - categorical_accuracy: 0.9845 - val_loss: 0.2039 - val_categorical_accuracy: 0.9585 - 640ms/epoch - 5ms/step
Epoch 601/1500
141/141 - 1s - loss: 0.0431 - categorical_accuracy: 0.9847 - val_loss: 0.1875 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 602/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.1866 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 603/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.1949 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 604/1500
141/141 - 1s - loss: 0.0404 - categorical_accuracy: 0.9853 - val_loss: 0.1976 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 605/1500
141/141 - 1s - loss: 0.0410 - categorical_accuracy: 0.9853 - val_loss: 0.1984 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 606/1500
141/141 - 1s - loss: 0.0430 - categorical_accuracy: 0.9848 - val_loss: 0.1946 - val_categorical_accuracy: 0.9588 - 650ms/epoch - 5ms/step
Epoch 607/1500
141/141 - 1s - loss: 0.0752 - categorical_accuracy: 0.9772 - val_loss: 0.1824 - val_categorical_accuracy: 0.9533 - 650ms/epoch - 5ms/step
Epoch 608/1500
141/141 - 1s - loss: 0.0434 - categorical_accuracy: 0.9846 - val_loss: 0.1908 - val_categorical_accuracy: 0.9588 - 660ms/epoch - 5ms/step
Epoch 609/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1907 - val_categorical_accuracy: 0.9566 - 650ms/epoch - 5ms/step
Epoch 610/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9857 - val_loss: 0.1795 - val_categorical_accuracy: 0.9630 - 650ms/epoch - 5ms/step
Epoch 611/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1863 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 612/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9856 - val_loss: 0.1919 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 613/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2662 - val_categorical_accuracy: 0.9363 - 630ms/epoch - 4ms/step
Epoch 614/1500
141/141 - 1s - loss: 0.2907 - categorical_accuracy: 0.9205 - val_loss: 0.1815 - val_categorical_accuracy: 0.9502 - 640ms/epoch - 5ms/step
Epoch 615/1500
141/141 - 1s - loss: 0.0582 - categorical_accuracy: 0.9796 - val_loss: 0.1850 - val_categorical_accuracy: 0.9542 - 630ms/epoch - 4ms/step
Epoch 616/1500
141/141 - 1s - loss: 0.0481 - categorical_accuracy: 0.9831 - val_loss: 0.1840 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 617/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9847 - val_loss: 0.1725 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 618/1500
141/141 - 1s - loss: 0.0421 - categorical_accuracy: 0.9851 - val_loss: 0.1886 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 619/1500
141/141 - 1s - loss: 0.0433 - categorical_accuracy: 0.9846 - val_loss: 0.1843 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 620/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9853 - val_loss: 0.1726 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 621/1500
141/141 - 1s - loss: 0.0405 - categorical_accuracy: 0.9854 - val_loss: 0.1915 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 622/1500
141/141 - 1s - loss: 0.0441 - categorical_accuracy: 0.9844 - val_loss: 0.2327 - val_categorical_accuracy: 0.9469 - 640ms/epoch - 5ms/step
Epoch 623/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9851 - val_loss: 0.1767 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 624/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9843 - val_loss: 0.1818 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 625/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1841 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 626/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9856 - val_loss: 0.1875 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 627/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9856 - val_loss: 0.1879 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 628/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9852 - val_loss: 0.2164 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 629/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1882 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 630/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1865 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 631/1500
141/141 - 1s - loss: 0.0607 - categorical_accuracy: 0.9806 - val_loss: 0.1861 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 632/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9855 - val_loss: 0.1855 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 633/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1896 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 634/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1903 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 635/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.1854 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 636/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1794 - val_categorical_accuracy: 0.9632 - 630ms/epoch - 4ms/step
Epoch 637/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2072 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 638/1500
141/141 - 1s - loss: 0.0424 - categorical_accuracy: 0.9846 - val_loss: 0.1812 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 639/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9859 - val_loss: 0.1996 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 640/1500
141/141 - 1s - loss: 0.0670 - categorical_accuracy: 0.9793 - val_loss: 0.2296 - val_categorical_accuracy: 0.9383 - 630ms/epoch - 4ms/step
Epoch 641/1500
141/141 - 1s - loss: 0.0470 - categorical_accuracy: 0.9833 - val_loss: 0.2044 - val_categorical_accuracy: 0.9523 - 630ms/epoch - 4ms/step
Epoch 642/1500
141/141 - 1s - loss: 0.0403 - categorical_accuracy: 0.9854 - val_loss: 0.1846 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 643/1500
141/141 - 1s - loss: 0.0397 - categorical_accuracy: 0.9856 - val_loss: 0.2286 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 644/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.2007 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 645/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9859 - val_loss: 0.1919 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 646/1500
141/141 - 1s - loss: 0.0407 - categorical_accuracy: 0.9854 - val_loss: 0.1878 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 647/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1972 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 648/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9858 - val_loss: 0.1909 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 649/1500
141/141 - 1s - loss: 0.0399 - categorical_accuracy: 0.9857 - val_loss: 0.2002 - val_categorical_accuracy: 0.9558 - 640ms/epoch - 5ms/step
Epoch 650/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1944 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 651/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1996 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 652/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.2045 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 653/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9853 - val_loss: 0.2117 - val_categorical_accuracy: 0.9556 - 640ms/epoch - 5ms/step
Epoch 654/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9859 - val_loss: 0.1846 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 655/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9866 - val_loss: 0.2055 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 656/1500
141/141 - 1s - loss: 0.0754 - categorical_accuracy: 0.9784 - val_loss: 0.2054 - val_categorical_accuracy: 0.9463 - 630ms/epoch - 4ms/step
Epoch 657/1500
141/141 - 1s - loss: 0.0461 - categorical_accuracy: 0.9837 - val_loss: 0.1828 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 658/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9858 - val_loss: 0.1840 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 659/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.1889 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 660/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9861 - val_loss: 0.1897 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 661/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9858 - val_loss: 0.1847 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 662/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.1854 - val_categorical_accuracy: 0.9626 - 629ms/epoch - 4ms/step
Epoch 663/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9853 - val_loss: 0.1894 - val_categorical_accuracy: 0.9581 - 631ms/epoch - 4ms/step
Epoch 664/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.1950 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 665/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9861 - val_loss: 0.1926 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 666/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9858 - val_loss: 0.1879 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 667/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9850 - val_loss: 0.1939 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 668/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2000 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 669/1500
141/141 - 1s - loss: 0.0398 - categorical_accuracy: 0.9857 - val_loss: 0.1984 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 670/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9859 - val_loss: 0.1918 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 671/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2108 - val_categorical_accuracy: 0.9546 - 630ms/epoch - 4ms/step
Epoch 672/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9857 - val_loss: 0.2125 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 673/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.2313 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 674/1500
141/141 - 1s - loss: 0.2330 - categorical_accuracy: 0.9386 - val_loss: 0.2901 - val_categorical_accuracy: 0.9033 - 640ms/epoch - 5ms/step
Epoch 675/1500
141/141 - 1s - loss: 0.1037 - categorical_accuracy: 0.9638 - val_loss: 0.1679 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 676/1500
141/141 - 1s - loss: 0.0485 - categorical_accuracy: 0.9829 - val_loss: 0.1743 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 677/1500
141/141 - 1s - loss: 0.0413 - categorical_accuracy: 0.9855 - val_loss: 0.1711 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 678/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1857 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 679/1500
141/141 - 1s - loss: 0.0401 - categorical_accuracy: 0.9855 - val_loss: 0.1753 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 680/1500
141/141 - 1s - loss: 0.0394 - categorical_accuracy: 0.9858 - val_loss: 0.1778 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 681/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9857 - val_loss: 0.1854 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 682/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.1988 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 683/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9860 - val_loss: 0.1929 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 684/1500
141/141 - 1s - loss: 0.0393 - categorical_accuracy: 0.9856 - val_loss: 0.1786 - val_categorical_accuracy: 0.9641 - 630ms/epoch - 4ms/step
Epoch 685/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.1973 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 686/1500
141/141 - 1s - loss: 0.0419 - categorical_accuracy: 0.9849 - val_loss: 0.1917 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 687/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9865 - val_loss: 0.1861 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 688/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9863 - val_loss: 0.1856 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 689/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9865 - val_loss: 0.1879 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 690/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.1871 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 691/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9864 - val_loss: 0.1848 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 692/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.1906 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 693/1500
141/141 - 1s - loss: 0.0684 - categorical_accuracy: 0.9789 - val_loss: 0.1778 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 694/1500
141/141 - 1s - loss: 0.0402 - categorical_accuracy: 0.9857 - val_loss: 0.1852 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 695/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9864 - val_loss: 0.1977 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 696/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9858 - val_loss: 0.1913 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 697/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.2049 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 698/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9862 - val_loss: 0.2457 - val_categorical_accuracy: 0.9482 - 630ms/epoch - 4ms/step
Epoch 699/1500
141/141 - 1s - loss: 0.0390 - categorical_accuracy: 0.9859 - val_loss: 0.1835 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 700/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9865 - val_loss: 0.2371 - val_categorical_accuracy: 0.9538 - 630ms/epoch - 4ms/step
Epoch 701/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9861 - val_loss: 0.2150 - val_categorical_accuracy: 0.9555 - 640ms/epoch - 5ms/step
Epoch 702/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9862 - val_loss: 0.1884 - val_categorical_accuracy: 0.9613 - 660ms/epoch - 5ms/step
Epoch 703/1500
141/141 - 1s - loss: 0.1053 - categorical_accuracy: 0.9716 - val_loss: 0.1727 - val_categorical_accuracy: 0.9565 - 660ms/epoch - 5ms/step
Epoch 704/1500
141/141 - 1s - loss: 0.0423 - categorical_accuracy: 0.9851 - val_loss: 0.1954 - val_categorical_accuracy: 0.9570 - 650ms/epoch - 5ms/step
Epoch 705/1500
141/141 - 1s - loss: 0.0382 - categorical_accuracy: 0.9862 - val_loss: 0.1807 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 706/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1929 - val_categorical_accuracy: 0.9585 - 630ms/epoch - 4ms/step
Epoch 707/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9866 - val_loss: 0.1914 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 708/1500
141/141 - 1s - loss: 0.0380 - categorical_accuracy: 0.9863 - val_loss: 0.1846 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 709/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9868 - val_loss: 0.1894 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 710/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9867 - val_loss: 0.2120 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 711/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1874 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 712/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.1964 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 713/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2089 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 714/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9856 - val_loss: 0.2094 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 715/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9854 - val_loss: 0.2235 - val_categorical_accuracy: 0.9561 - 630ms/epoch - 4ms/step
Epoch 716/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2034 - val_categorical_accuracy: 0.9579 - 630ms/epoch - 4ms/step
Epoch 717/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9861 - val_loss: 0.1959 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 718/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9857 - val_loss: 0.2060 - val_categorical_accuracy: 0.9572 - 640ms/epoch - 5ms/step
Epoch 719/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.1956 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 720/1500
141/141 - 1s - loss: 0.0391 - categorical_accuracy: 0.9859 - val_loss: 0.2049 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 721/1500
141/141 - 1s - loss: 0.0437 - categorical_accuracy: 0.9845 - val_loss: 0.1857 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 722/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1925 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 723/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9864 - val_loss: 0.2124 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 724/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9859 - val_loss: 0.2069 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 725/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2083 - val_categorical_accuracy: 0.9575 - 630ms/epoch - 4ms/step
Epoch 726/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9859 - val_loss: 0.1889 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 727/1500
141/141 - 1s - loss: 0.0406 - categorical_accuracy: 0.9853 - val_loss: 0.2134 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 728/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2007 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 729/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9861 - val_loss: 0.1912 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 730/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.1944 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 731/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9864 - val_loss: 0.1949 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 732/1500
141/141 - 1s - loss: 0.0664 - categorical_accuracy: 0.9790 - val_loss: 0.1877 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 733/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1911 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 734/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9865 - val_loss: 0.2094 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 735/1500
141/141 - 1s - loss: 0.0377 - categorical_accuracy: 0.9864 - val_loss: 0.2005 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 736/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.1913 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 737/1500
141/141 - 1s - loss: 0.0395 - categorical_accuracy: 0.9859 - val_loss: 0.1914 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 738/1500
141/141 - 1s - loss: 0.0899 - categorical_accuracy: 0.9744 - val_loss: 0.1817 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 739/1500
141/141 - 1s - loss: 0.0385 - categorical_accuracy: 0.9863 - val_loss: 0.1817 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 740/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1843 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 741/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.1857 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 742/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1902 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 743/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.1863 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 744/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9868 - val_loss: 0.2298 - val_categorical_accuracy: 0.9534 - 630ms/epoch - 4ms/step
Epoch 745/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9862 - val_loss: 0.2076 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 746/1500
141/141 - 1s - loss: 0.0384 - categorical_accuracy: 0.9861 - val_loss: 0.1926 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 747/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.1993 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 748/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1893 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 749/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.1945 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 750/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9863 - val_loss: 0.2001 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 751/1500
141/141 - 1s - loss: 0.0367 - categorical_accuracy: 0.9866 - val_loss: 0.2001 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 752/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9864 - val_loss: 0.2088 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 753/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2019 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 754/1500
141/141 - 1s - loss: 0.0371 - categorical_accuracy: 0.9867 - val_loss: 0.1999 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 755/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9861 - val_loss: 0.2200 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 756/1500
141/141 - 1s - loss: 0.0388 - categorical_accuracy: 0.9860 - val_loss: 0.3056 - val_categorical_accuracy: 0.9364 - 630ms/epoch - 4ms/step
Epoch 757/1500
141/141 - 1s - loss: 0.0396 - categorical_accuracy: 0.9858 - val_loss: 0.2044 - val_categorical_accuracy: 0.9602 - 645ms/epoch - 5ms/step
Epoch 758/1500
141/141 - 1s - loss: 0.1047 - categorical_accuracy: 0.9713 - val_loss: 0.1815 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 759/1500
141/141 - 1s - loss: 0.0378 - categorical_accuracy: 0.9863 - val_loss: 0.1817 - val_categorical_accuracy: 0.9640 - 630ms/epoch - 4ms/step
Epoch 760/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2047 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 761/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.1935 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 762/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9866 - val_loss: 0.1898 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 763/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.1881 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 764/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2066 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 765/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9867 - val_loss: 0.2148 - val_categorical_accuracy: 0.9552 - 630ms/epoch - 4ms/step
Epoch 766/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.2021 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 767/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2016 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 768/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9862 - val_loss: 0.2035 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 769/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2004 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 770/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9867 - val_loss: 0.2072 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 771/1500
141/141 - 1s - loss: 0.0400 - categorical_accuracy: 0.9856 - val_loss: 0.1953 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 772/1500
141/141 - 1s - loss: 0.0708 - categorical_accuracy: 0.9778 - val_loss: 0.1861 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 773/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.1941 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 774/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9871 - val_loss: 0.1958 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 775/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9869 - val_loss: 0.1976 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 776/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9868 - val_loss: 0.2303 - val_categorical_accuracy: 0.9497 - 630ms/epoch - 4ms/step
Epoch 777/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9862 - val_loss: 0.1978 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 778/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9869 - val_loss: 0.1958 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 779/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9870 - val_loss: 0.1971 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 780/1500
141/141 - 1s - loss: 0.0368 - categorical_accuracy: 0.9866 - val_loss: 0.2187 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 781/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.1967 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 782/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9869 - val_loss: 0.2189 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 783/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9866 - val_loss: 0.2206 - val_categorical_accuracy: 0.9544 - 630ms/epoch - 4ms/step
Epoch 784/1500
141/141 - 1s - loss: 0.0923 - categorical_accuracy: 0.9748 - val_loss: 0.1942 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 785/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.1995 - val_categorical_accuracy: 0.9583 - 630ms/epoch - 4ms/step
Epoch 786/1500
141/141 - 1s - loss: 0.0361 - categorical_accuracy: 0.9869 - val_loss: 0.1871 - val_categorical_accuracy: 0.9642 - 630ms/epoch - 4ms/step
Epoch 787/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.1895 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 788/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.1984 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 789/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2063 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 790/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2000 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 791/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2185 - val_categorical_accuracy: 0.9525 - 630ms/epoch - 4ms/step
Epoch 792/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9867 - val_loss: 0.2003 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 793/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2075 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 794/1500
141/141 - 1s - loss: 0.0383 - categorical_accuracy: 0.9861 - val_loss: 0.2170 - val_categorical_accuracy: 0.9560 - 630ms/epoch - 4ms/step
Epoch 795/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2008 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 796/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9867 - val_loss: 0.1966 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 797/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9867 - val_loss: 0.1995 - val_categorical_accuracy: 0.9608 - 670ms/epoch - 5ms/step
Epoch 798/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2003 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 799/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9868 - val_loss: 0.2077 - val_categorical_accuracy: 0.9601 - 650ms/epoch - 5ms/step
Epoch 800/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9870 - val_loss: 0.2488 - val_categorical_accuracy: 0.9526 - 630ms/epoch - 4ms/step
Epoch 801/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9864 - val_loss: 0.2125 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 802/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9868 - val_loss: 0.2129 - val_categorical_accuracy: 0.9577 - 630ms/epoch - 4ms/step
Epoch 803/1500
141/141 - 1s - loss: 0.0387 - categorical_accuracy: 0.9858 - val_loss: 0.2058 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 804/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2179 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 805/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9865 - val_loss: 0.2022 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 806/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9867 - val_loss: 0.2100 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 807/1500
141/141 - 1s - loss: 0.0364 - categorical_accuracy: 0.9865 - val_loss: 0.2162 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 808/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9869 - val_loss: 0.2148 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 809/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2099 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 810/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9867 - val_loss: 0.2102 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 811/1500
141/141 - 1s - loss: 0.0947 - categorical_accuracy: 0.9740 - val_loss: 0.2005 - val_categorical_accuracy: 0.9565 - 630ms/epoch - 4ms/step
Epoch 812/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.1994 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 813/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9873 - val_loss: 0.1913 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 814/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9875 - val_loss: 0.2099 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 815/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.1963 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 816/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.1976 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 817/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9865 - val_loss: 0.2080 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 818/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2118 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 819/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9872 - val_loss: 0.2058 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 820/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9861 - val_loss: 0.1993 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 821/1500
141/141 - 1s - loss: 0.0954 - categorical_accuracy: 0.9740 - val_loss: 0.1984 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 822/1500
141/141 - 1s - loss: 0.0381 - categorical_accuracy: 0.9863 - val_loss: 0.2097 - val_categorical_accuracy: 0.9561 - 640ms/epoch - 5ms/step
Epoch 823/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9874 - val_loss: 0.2013 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 824/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2059 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 825/1500
141/141 - 1s - loss: 0.0379 - categorical_accuracy: 0.9863 - val_loss: 0.1977 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 826/1500
141/141 - 1s - loss: 0.0360 - categorical_accuracy: 0.9868 - val_loss: 0.2003 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 827/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9874 - val_loss: 0.2071 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 828/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.2234 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 829/1500
141/141 - 1s - loss: 0.0363 - categorical_accuracy: 0.9866 - val_loss: 0.2011 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 830/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2031 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 831/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9875 - val_loss: 0.2050 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 832/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9876 - val_loss: 0.2201 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 833/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9871 - val_loss: 0.2023 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 834/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2085 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 835/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9873 - val_loss: 0.2161 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 836/1500
141/141 - 1s - loss: 0.0348 - categorical_accuracy: 0.9872 - val_loss: 0.2149 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 837/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9875 - val_loss: 0.2224 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 838/1500
141/141 - 1s - loss: 0.1197 - categorical_accuracy: 0.9686 - val_loss: 0.2020 - val_categorical_accuracy: 0.9411 - 630ms/epoch - 4ms/step
Epoch 839/1500
141/141 - 1s - loss: 0.0511 - categorical_accuracy: 0.9821 - val_loss: 0.1848 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 840/1500
141/141 - 1s - loss: 0.0362 - categorical_accuracy: 0.9869 - val_loss: 0.1897 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 841/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.1935 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 842/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9869 - val_loss: 0.1943 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 843/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2009 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 844/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.1983 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 845/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9874 - val_loss: 0.1982 - val_categorical_accuracy: 0.9638 - 650ms/epoch - 5ms/step
Epoch 846/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2125 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 847/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2044 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 848/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9872 - val_loss: 0.2016 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 849/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2143 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 850/1500
141/141 - 1s - loss: 0.0369 - categorical_accuracy: 0.9867 - val_loss: 0.2093 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 851/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9870 - val_loss: 0.2126 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 852/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9871 - val_loss: 0.2060 - val_categorical_accuracy: 0.9605 - 636ms/epoch - 5ms/step
Epoch 853/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.2127 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 854/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9871 - val_loss: 0.2070 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 855/1500
141/141 - 1s - loss: 0.0392 - categorical_accuracy: 0.9860 - val_loss: 0.2099 - val_categorical_accuracy: 0.9639 - 630ms/epoch - 4ms/step
Epoch 856/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2337 - val_categorical_accuracy: 0.9519 - 630ms/epoch - 4ms/step
Epoch 857/1500
141/141 - 1s - loss: 0.0730 - categorical_accuracy: 0.9789 - val_loss: 0.2256 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 858/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9873 - val_loss: 0.1912 - val_categorical_accuracy: 0.9640 - 630ms/epoch - 4ms/step
Epoch 859/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.1956 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 860/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.2055 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 861/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.1995 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 862/1500
141/141 - 1s - loss: 0.0373 - categorical_accuracy: 0.9864 - val_loss: 0.1972 - val_categorical_accuracy: 0.9632 - 630ms/epoch - 4ms/step
Epoch 863/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2150 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 864/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2013 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 865/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9869 - val_loss: 0.2242 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 866/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9873 - val_loss: 0.2112 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 867/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2124 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 868/1500
141/141 - 1s - loss: 0.0376 - categorical_accuracy: 0.9862 - val_loss: 0.2060 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 869/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9875 - val_loss: 0.2162 - val_categorical_accuracy: 0.9581 - 630ms/epoch - 4ms/step
Epoch 870/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9870 - val_loss: 0.2104 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 871/1500
141/141 - 1s - loss: 0.1386 - categorical_accuracy: 0.9638 - val_loss: 0.2065 - val_categorical_accuracy: 0.9486 - 640ms/epoch - 5ms/step
Epoch 872/1500
141/141 - 1s - loss: 0.0440 - categorical_accuracy: 0.9844 - val_loss: 0.2178 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 873/1500
141/141 - 1s - loss: 0.0355 - categorical_accuracy: 0.9871 - val_loss: 0.2031 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 874/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.1978 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 875/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2051 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 876/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2062 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 877/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2039 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 878/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2387 - val_categorical_accuracy: 0.9533 - 630ms/epoch - 4ms/step
Epoch 879/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9871 - val_loss: 0.2035 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 880/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9869 - val_loss: 0.2024 - val_categorical_accuracy: 0.9641 - 630ms/epoch - 4ms/step
Epoch 881/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9874 - val_loss: 0.2082 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 882/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9878 - val_loss: 0.2332 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 883/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9872 - val_loss: 0.1987 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 884/1500
141/141 - 1s - loss: 0.0351 - categorical_accuracy: 0.9873 - val_loss: 0.2052 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 885/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2114 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 886/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9877 - val_loss: 0.2178 - val_categorical_accuracy: 0.9582 - 640ms/epoch - 5ms/step
Epoch 887/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2093 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 888/1500
141/141 - 1s - loss: 0.0349 - categorical_accuracy: 0.9872 - val_loss: 0.2009 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 889/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2167 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 890/1500
141/141 - 1s - loss: 0.0738 - categorical_accuracy: 0.9788 - val_loss: 0.2147 - val_categorical_accuracy: 0.9499 - 630ms/epoch - 4ms/step
Epoch 891/1500
141/141 - 1s - loss: 0.0411 - categorical_accuracy: 0.9852 - val_loss: 0.1981 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 892/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9872 - val_loss: 0.2037 - val_categorical_accuracy: 0.9603 - 650ms/epoch - 5ms/step
Epoch 893/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9878 - val_loss: 0.2130 - val_categorical_accuracy: 0.9629 - 660ms/epoch - 5ms/step
Epoch 894/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2101 - val_categorical_accuracy: 0.9608 - 650ms/epoch - 5ms/step
Epoch 895/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2149 - val_categorical_accuracy: 0.9573 - 630ms/epoch - 4ms/step
Epoch 896/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.1999 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 897/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2098 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 898/1500
141/141 - 1s - loss: 0.0354 - categorical_accuracy: 0.9868 - val_loss: 0.2120 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 899/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2137 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 900/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9868 - val_loss: 0.2172 - val_categorical_accuracy: 0.9571 - 630ms/epoch - 4ms/step
Epoch 901/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2093 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 902/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2113 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 903/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2176 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 904/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2106 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 905/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2072 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 906/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2547 - val_categorical_accuracy: 0.9528 - 640ms/epoch - 5ms/step
Epoch 907/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2104 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 908/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2346 - val_categorical_accuracy: 0.9543 - 630ms/epoch - 4ms/step
Epoch 909/1500
141/141 - 1s - loss: 0.0357 - categorical_accuracy: 0.9868 - val_loss: 0.2093 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 910/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2149 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 911/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9880 - val_loss: 0.2077 - val_categorical_accuracy: 0.9632 - 630ms/epoch - 4ms/step
Epoch 912/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.2232 - val_categorical_accuracy: 0.9574 - 630ms/epoch - 4ms/step
Epoch 913/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9860 - val_loss: 0.2164 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 914/1500
141/141 - 1s - loss: 0.0374 - categorical_accuracy: 0.9864 - val_loss: 0.2218 - val_categorical_accuracy: 0.9601 - 630ms/epoch - 4ms/step
Epoch 915/1500
141/141 - 1s - loss: 0.0714 - categorical_accuracy: 0.9797 - val_loss: 0.1904 - val_categorical_accuracy: 0.9559 - 630ms/epoch - 4ms/step
Epoch 916/1500
141/141 - 1s - loss: 0.0386 - categorical_accuracy: 0.9859 - val_loss: 0.2061 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 917/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2091 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 918/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9871 - val_loss: 0.2090 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 919/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2094 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 920/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9875 - val_loss: 0.2569 - val_categorical_accuracy: 0.9511 - 630ms/epoch - 4ms/step
Epoch 921/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9742 - val_loss: 0.2021 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 922/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9876 - val_loss: 0.2031 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 923/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2156 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 924/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9876 - val_loss: 0.2044 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 925/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2027 - val_categorical_accuracy: 0.9639 - 640ms/epoch - 5ms/step
Epoch 926/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2003 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 927/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9876 - val_loss: 0.2098 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 928/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9881 - val_loss: 0.2073 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 929/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9876 - val_loss: 0.1991 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 930/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2140 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 931/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2085 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 932/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9878 - val_loss: 0.2114 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 933/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9880 - val_loss: 0.2152 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 934/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9882 - val_loss: 0.2114 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 935/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9878 - val_loss: 0.2206 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 936/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2150 - val_categorical_accuracy: 0.9600 - 630ms/epoch - 4ms/step
Epoch 937/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2259 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 938/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2492 - val_categorical_accuracy: 0.9547 - 630ms/epoch - 4ms/step
Epoch 939/1500
141/141 - 1s - loss: 0.0365 - categorical_accuracy: 0.9866 - val_loss: 0.2193 - val_categorical_accuracy: 0.9605 - 630ms/epoch - 4ms/step
Epoch 940/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2097 - val_categorical_accuracy: 0.9647 - 640ms/epoch - 5ms/step
Epoch 941/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2250 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 942/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2202 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 943/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2222 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 944/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2144 - val_categorical_accuracy: 0.9632 - 630ms/epoch - 4ms/step
Epoch 945/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9871 - val_loss: 0.2251 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 946/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2223 - val_categorical_accuracy: 0.9590 - 630ms/epoch - 4ms/step
Epoch 947/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2258 - val_categorical_accuracy: 0.9614 - 629ms/epoch - 4ms/step
Epoch 948/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9877 - val_loss: 0.2299 - val_categorical_accuracy: 0.9563 - 630ms/epoch - 4ms/step
Epoch 949/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2256 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 950/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2138 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 951/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9879 - val_loss: 0.2180 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 952/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9878 - val_loss: 0.2187 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 953/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2259 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 954/1500
141/141 - 1s - loss: 0.0908 - categorical_accuracy: 0.9758 - val_loss: 0.1962 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 955/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9870 - val_loss: 0.2143 - val_categorical_accuracy: 0.9566 - 640ms/epoch - 5ms/step
Epoch 956/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2116 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 957/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2227 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 958/1500
141/141 - 1s - loss: 0.0344 - categorical_accuracy: 0.9873 - val_loss: 0.2157 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 959/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9879 - val_loss: 0.2082 - val_categorical_accuracy: 0.9632 - 630ms/epoch - 4ms/step
Epoch 960/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.1971 - val_categorical_accuracy: 0.9650 - 630ms/epoch - 4ms/step
Epoch 961/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2101 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 962/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.2344 - val_categorical_accuracy: 0.9555 - 630ms/epoch - 4ms/step
Epoch 963/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9873 - val_loss: 0.2099 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 964/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9876 - val_loss: 0.2155 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 965/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2179 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 966/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2257 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 967/1500
141/141 - 1s - loss: 0.0767 - categorical_accuracy: 0.9783 - val_loss: 0.2011 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 968/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9874 - val_loss: 0.2118 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 969/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2088 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 970/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2134 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 971/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2068 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 972/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2090 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 973/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2087 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 974/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9874 - val_loss: 0.2364 - val_categorical_accuracy: 0.9558 - 630ms/epoch - 4ms/step
Epoch 975/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2213 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 976/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9877 - val_loss: 0.2274 - val_categorical_accuracy: 0.9605 - 840ms/epoch - 6ms/step
Epoch 977/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2068 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 978/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2298 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 979/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9874 - val_loss: 0.2403 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 980/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2141 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 981/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9881 - val_loss: 0.2143 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 982/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2194 - val_categorical_accuracy: 0.9591 - 640ms/epoch - 5ms/step
Epoch 983/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9873 - val_loss: 0.2214 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 984/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2215 - val_categorical_accuracy: 0.9590 - 650ms/epoch - 5ms/step
Epoch 985/1500
141/141 - 1s - loss: 0.0346 - categorical_accuracy: 0.9873 - val_loss: 0.2228 - val_categorical_accuracy: 0.9605 - 660ms/epoch - 5ms/step
Epoch 986/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2197 - val_categorical_accuracy: 0.9624 - 650ms/epoch - 5ms/step
Epoch 987/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2142 - val_categorical_accuracy: 0.9620 - 660ms/epoch - 5ms/step
Epoch 988/1500
141/141 - 1s - loss: 0.0336 - categorical_accuracy: 0.9877 - val_loss: 0.2136 - val_categorical_accuracy: 0.9604 - 670ms/epoch - 5ms/step
Epoch 989/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2117 - val_categorical_accuracy: 0.9624 - 670ms/epoch - 5ms/step
Epoch 990/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9874 - val_loss: 0.2286 - val_categorical_accuracy: 0.9597 - 650ms/epoch - 5ms/step
Epoch 991/1500
141/141 - 1s - loss: 0.0809 - categorical_accuracy: 0.9781 - val_loss: 0.1917 - val_categorical_accuracy: 0.9579 - 670ms/epoch - 5ms/step
Epoch 992/1500
141/141 - 1s - loss: 0.0375 - categorical_accuracy: 0.9864 - val_loss: 0.2062 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 993/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2129 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 994/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2060 - val_categorical_accuracy: 0.9630 - 650ms/epoch - 5ms/step
Epoch 995/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9884 - val_loss: 0.2326 - val_categorical_accuracy: 0.9574 - 660ms/epoch - 5ms/step
Epoch 996/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2132 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 997/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2201 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 998/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2164 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 999/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9878 - val_loss: 0.2107 - val_categorical_accuracy: 0.9631 - 650ms/epoch - 5ms/step
Epoch 1000/1500
141/141 - 1s - loss: 0.1003 - categorical_accuracy: 0.9749 - val_loss: 0.2180 - val_categorical_accuracy: 0.9477 - 640ms/epoch - 5ms/step
Epoch 1001/1500
141/141 - 1s - loss: 0.0418 - categorical_accuracy: 0.9852 - val_loss: 0.1957 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 1002/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2013 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1003/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9886 - val_loss: 0.2058 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1004/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2063 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1005/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2095 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1006/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2045 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1007/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2129 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1008/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2283 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1009/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2101 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1010/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9878 - val_loss: 0.2170 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1011/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2177 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1012/1500
141/141 - 1s - loss: 0.0332 - categorical_accuracy: 0.9877 - val_loss: 0.2158 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1013/1500
141/141 - 1s - loss: 0.0342 - categorical_accuracy: 0.9873 - val_loss: 0.2159 - val_categorical_accuracy: 0.9620 - 650ms/epoch - 5ms/step
Epoch 1014/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9883 - val_loss: 0.2194 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1015/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2362 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1016/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2467 - val_categorical_accuracy: 0.9545 - 640ms/epoch - 5ms/step
Epoch 1017/1500
141/141 - 1s - loss: 0.0353 - categorical_accuracy: 0.9870 - val_loss: 0.2358 - val_categorical_accuracy: 0.9563 - 640ms/epoch - 5ms/step
Epoch 1018/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2160 - val_categorical_accuracy: 0.9619 - 650ms/epoch - 5ms/step
Epoch 1019/1500
141/141 - 1s - loss: 0.1338 - categorical_accuracy: 0.9672 - val_loss: 0.3295 - val_categorical_accuracy: 0.8889 - 650ms/epoch - 5ms/step
Epoch 1020/1500
141/141 - 1s - loss: 0.0788 - categorical_accuracy: 0.9724 - val_loss: 0.1980 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1021/1500
141/141 - 1s - loss: 0.0356 - categorical_accuracy: 0.9872 - val_loss: 0.2073 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1022/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.1979 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1023/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.2048 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 1024/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2294 - val_categorical_accuracy: 0.9551 - 640ms/epoch - 5ms/step
Epoch 1025/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.1989 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1026/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9879 - val_loss: 0.2228 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1027/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2139 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1028/1500
141/141 - 1s - loss: 0.0330 - categorical_accuracy: 0.9876 - val_loss: 0.2058 - val_categorical_accuracy: 0.9639 - 650ms/epoch - 5ms/step
Epoch 1029/1500
141/141 - 1s - loss: 0.0888 - categorical_accuracy: 0.9758 - val_loss: 0.1850 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1030/1500
141/141 - 1s - loss: 0.0350 - categorical_accuracy: 0.9873 - val_loss: 0.2017 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1031/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2011 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1032/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2230 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1033/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2051 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1034/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2040 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1035/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2148 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 1036/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2097 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1037/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2243 - val_categorical_accuracy: 0.9576 - 640ms/epoch - 5ms/step
Epoch 1038/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2129 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1039/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2113 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1040/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2429 - val_categorical_accuracy: 0.9539 - 640ms/epoch - 5ms/step
Epoch 1041/1500
141/141 - 1s - loss: 0.0816 - categorical_accuracy: 0.9772 - val_loss: 0.1957 - val_categorical_accuracy: 0.9631 - 653ms/epoch - 5ms/step
Epoch 1042/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9879 - val_loss: 0.1985 - val_categorical_accuracy: 0.9627 - 650ms/epoch - 5ms/step
Epoch 1043/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2028 - val_categorical_accuracy: 0.9645 - 640ms/epoch - 5ms/step
Epoch 1044/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2099 - val_categorical_accuracy: 0.9604 - 650ms/epoch - 5ms/step
Epoch 1045/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2114 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1046/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9879 - val_loss: 0.2068 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1047/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2103 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1048/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9877 - val_loss: 0.2154 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1049/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2305 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 1050/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2122 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1051/1500
141/141 - 1s - loss: 0.0343 - categorical_accuracy: 0.9876 - val_loss: 0.2131 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1052/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2290 - val_categorical_accuracy: 0.9575 - 650ms/epoch - 5ms/step
Epoch 1053/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2118 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1054/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2171 - val_categorical_accuracy: 0.9598 - 650ms/epoch - 5ms/step
Epoch 1055/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9879 - val_loss: 0.2222 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1056/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2587 - val_categorical_accuracy: 0.9505 - 640ms/epoch - 5ms/step
Epoch 1057/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2340 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 1058/1500
141/141 - 1s - loss: 0.1220 - categorical_accuracy: 0.9707 - val_loss: 0.3677 - val_categorical_accuracy: 0.8761 - 640ms/epoch - 5ms/step
Epoch 1059/1500
141/141 - 1s - loss: 0.0825 - categorical_accuracy: 0.9708 - val_loss: 0.1897 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1060/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9868 - val_loss: 0.1917 - val_categorical_accuracy: 0.9641 - 640ms/epoch - 5ms/step
Epoch 1061/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.1959 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1062/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9882 - val_loss: 0.2132 - val_categorical_accuracy: 0.9605 - 650ms/epoch - 5ms/step
Epoch 1063/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9880 - val_loss: 0.2119 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1064/1500
141/141 - 1s - loss: 0.0340 - categorical_accuracy: 0.9875 - val_loss: 0.2177 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1065/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2692 - val_categorical_accuracy: 0.9494 - 640ms/epoch - 5ms/step
Epoch 1066/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9880 - val_loss: 0.2169 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1067/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2261 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 1068/1500
141/141 - 1s - loss: 0.0338 - categorical_accuracy: 0.9877 - val_loss: 0.2499 - val_categorical_accuracy: 0.9520 - 630ms/epoch - 4ms/step
Epoch 1069/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9877 - val_loss: 0.2271 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1070/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2104 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 1071/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9883 - val_loss: 0.2368 - val_categorical_accuracy: 0.9533 - 640ms/epoch - 5ms/step
Epoch 1072/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9875 - val_loss: 0.2053 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1073/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2213 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1074/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2093 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1075/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2208 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1076/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2160 - val_categorical_accuracy: 0.9599 - 630ms/epoch - 4ms/step
Epoch 1077/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9879 - val_loss: 0.2124 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1078/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2222 - val_categorical_accuracy: 0.9574 - 650ms/epoch - 5ms/step
Epoch 1079/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9881 - val_loss: 0.2094 - val_categorical_accuracy: 0.9639 - 640ms/epoch - 5ms/step
Epoch 1080/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2283 - val_categorical_accuracy: 0.9611 - 660ms/epoch - 5ms/step
Epoch 1081/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9881 - val_loss: 0.2388 - val_categorical_accuracy: 0.9563 - 670ms/epoch - 5ms/step
Epoch 1082/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9877 - val_loss: 0.2275 - val_categorical_accuracy: 0.9586 - 650ms/epoch - 5ms/step
Epoch 1083/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2167 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1084/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9881 - val_loss: 0.2156 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1085/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2422 - val_categorical_accuracy: 0.9562 - 650ms/epoch - 5ms/step
Epoch 1086/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9876 - val_loss: 0.2148 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1087/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2254 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1088/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2272 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1089/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9875 - val_loss: 0.2344 - val_categorical_accuracy: 0.9573 - 640ms/epoch - 5ms/step
Epoch 1090/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9876 - val_loss: 0.2166 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1091/1500
141/141 - 1s - loss: 0.0327 - categorical_accuracy: 0.9880 - val_loss: 0.4419 - val_categorical_accuracy: 0.9229 - 640ms/epoch - 5ms/step
Epoch 1092/1500
141/141 - 1s - loss: 0.1137 - categorical_accuracy: 0.9696 - val_loss: 0.2093 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1093/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2169 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1094/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2062 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1095/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2031 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1096/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2106 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1097/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2432 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1098/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2145 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1099/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2166 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1100/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2302 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1101/1500
141/141 - 1s - loss: 0.0333 - categorical_accuracy: 0.9878 - val_loss: 0.2126 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 1102/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2157 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1103/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2201 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1104/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2183 - val_categorical_accuracy: 0.9592 - 630ms/epoch - 4ms/step
Epoch 1105/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9884 - val_loss: 0.2179 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1106/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9879 - val_loss: 0.2513 - val_categorical_accuracy: 0.9544 - 640ms/epoch - 5ms/step
Epoch 1107/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2330 - val_categorical_accuracy: 0.9584 - 640ms/epoch - 5ms/step
Epoch 1108/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9882 - val_loss: 0.2238 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1109/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9878 - val_loss: 0.2347 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1110/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2201 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1111/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2126 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1112/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2205 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1113/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2224 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1114/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9881 - val_loss: 0.2163 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1115/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9882 - val_loss: 0.2227 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1116/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9880 - val_loss: 0.2299 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1117/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9879 - val_loss: 0.2219 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1118/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2286 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1119/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2309 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1120/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9876 - val_loss: 0.2597 - val_categorical_accuracy: 0.9556 - 630ms/epoch - 4ms/step
Epoch 1121/1500
141/141 - 1s - loss: 0.0337 - categorical_accuracy: 0.9873 - val_loss: 0.2309 - val_categorical_accuracy: 0.9592 - 640ms/epoch - 5ms/step
Epoch 1122/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2451 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1123/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2433 - val_categorical_accuracy: 0.9591 - 630ms/epoch - 4ms/step
Epoch 1124/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9882 - val_loss: 0.2346 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1125/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2233 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1126/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9886 - val_loss: 0.2194 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1127/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2172 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1128/1500
141/141 - 1s - loss: 0.0341 - categorical_accuracy: 0.9875 - val_loss: 0.2282 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1129/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9879 - val_loss: 0.2334 - val_categorical_accuracy: 0.9597 - 640ms/epoch - 5ms/step
Epoch 1130/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9886 - val_loss: 0.2277 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1131/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2206 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1132/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9881 - val_loss: 0.2259 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1133/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9883 - val_loss: 0.2275 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1134/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9881 - val_loss: 0.2346 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1135/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2263 - val_categorical_accuracy: 0.9630 - 633ms/epoch - 4ms/step
Epoch 1136/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9884 - val_loss: 0.2230 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 1137/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2329 - val_categorical_accuracy: 0.9578 - 630ms/epoch - 4ms/step
Epoch 1138/1500
141/141 - 1s - loss: 0.1302 - categorical_accuracy: 0.9669 - val_loss: 0.2061 - val_categorical_accuracy: 0.9471 - 630ms/epoch - 4ms/step
Epoch 1139/1500
141/141 - 1s - loss: 0.0454 - categorical_accuracy: 0.9838 - val_loss: 0.1979 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1140/1500
141/141 - 1s - loss: 0.0326 - categorical_accuracy: 0.9881 - val_loss: 0.2075 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1141/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2076 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 1142/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9890 - val_loss: 0.2218 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1143/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9888 - val_loss: 0.2131 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1144/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9887 - val_loss: 0.2249 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1145/1500
141/141 - 1s - loss: 0.0359 - categorical_accuracy: 0.9870 - val_loss: 0.2189 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1146/1500
141/141 - 1s - loss: 0.0366 - categorical_accuracy: 0.9868 - val_loss: 0.2123 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1147/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9883 - val_loss: 0.2198 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1148/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2296 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1149/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2325 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1150/1500
141/141 - 1s - loss: 0.0318 - categorical_accuracy: 0.9881 - val_loss: 0.2167 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1151/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2181 - val_categorical_accuracy: 0.9638 - 640ms/epoch - 5ms/step
Epoch 1152/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2191 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 1153/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2239 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 1154/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2340 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1155/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9881 - val_loss: 0.2433 - val_categorical_accuracy: 0.9545 - 640ms/epoch - 5ms/step
Epoch 1156/1500
141/141 - 1s - loss: 0.0328 - categorical_accuracy: 0.9878 - val_loss: 0.2202 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1157/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9887 - val_loss: 0.2217 - val_categorical_accuracy: 0.9638 - 630ms/epoch - 4ms/step
Epoch 1158/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2425 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 1159/1500
141/141 - 1s - loss: 0.0943 - categorical_accuracy: 0.9750 - val_loss: 0.1977 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1160/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2057 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1161/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9891 - val_loss: 0.2123 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1162/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2279 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1163/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.3282 - val_categorical_accuracy: 0.9385 - 630ms/epoch - 4ms/step
Epoch 1164/1500
141/141 - 1s - loss: 0.0937 - categorical_accuracy: 0.9745 - val_loss: 0.1941 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1165/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2039 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1166/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2079 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1167/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9888 - val_loss: 0.2192 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1168/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2338 - val_categorical_accuracy: 0.9548 - 630ms/epoch - 4ms/step
Epoch 1169/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9885 - val_loss: 0.2086 - val_categorical_accuracy: 0.9640 - 630ms/epoch - 4ms/step
Epoch 1170/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2223 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1171/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2188 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1172/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2149 - val_categorical_accuracy: 0.9631 - 640ms/epoch - 5ms/step
Epoch 1173/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2247 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1174/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2236 - val_categorical_accuracy: 0.9590 - 660ms/epoch - 5ms/step
Epoch 1175/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2118 - val_categorical_accuracy: 0.9647 - 660ms/epoch - 5ms/step
Epoch 1176/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2254 - val_categorical_accuracy: 0.9628 - 650ms/epoch - 5ms/step
Epoch 1177/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2221 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 1178/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9886 - val_loss: 0.2259 - val_categorical_accuracy: 0.9616 - 630ms/epoch - 4ms/step
Epoch 1179/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2289 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1180/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9881 - val_loss: 0.2192 - val_categorical_accuracy: 0.9644 - 640ms/epoch - 5ms/step
Epoch 1181/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9887 - val_loss: 0.2167 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1182/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2641 - val_categorical_accuracy: 0.9528 - 630ms/epoch - 4ms/step
Epoch 1183/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9884 - val_loss: 0.2214 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1184/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2164 - val_categorical_accuracy: 0.9649 - 630ms/epoch - 4ms/step
Epoch 1185/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2405 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1186/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9887 - val_loss: 0.2243 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1187/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9884 - val_loss: 0.2227 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1188/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2257 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1189/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2232 - val_categorical_accuracy: 0.9634 - 630ms/epoch - 4ms/step
Epoch 1190/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2231 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1191/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2358 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1192/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2204 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1193/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2282 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1194/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9887 - val_loss: 0.2437 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1195/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9884 - val_loss: 0.2193 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1196/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2360 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1197/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9883 - val_loss: 0.2463 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1198/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9885 - val_loss: 0.2500 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1199/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9882 - val_loss: 0.2413 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1200/1500
141/141 - 1s - loss: 0.1458 - categorical_accuracy: 0.9610 - val_loss: 0.1936 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1201/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2134 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1202/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2036 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 1203/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2090 - val_categorical_accuracy: 0.9650 - 630ms/epoch - 4ms/step
Epoch 1204/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2481 - val_categorical_accuracy: 0.9537 - 630ms/epoch - 4ms/step
Epoch 1205/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2122 - val_categorical_accuracy: 0.9637 - 630ms/epoch - 4ms/step
Epoch 1206/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2182 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1207/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9890 - val_loss: 0.2183 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1208/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2255 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1209/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9884 - val_loss: 0.2161 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 1210/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9894 - val_loss: 0.2202 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1211/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9888 - val_loss: 0.2183 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1212/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9892 - val_loss: 0.2161 - val_categorical_accuracy: 0.9644 - 630ms/epoch - 4ms/step
Epoch 1213/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2141 - val_categorical_accuracy: 0.9639 - 630ms/epoch - 4ms/step
Epoch 1214/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2363 - val_categorical_accuracy: 0.9584 - 630ms/epoch - 4ms/step
Epoch 1215/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9883 - val_loss: 0.2405 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1216/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9883 - val_loss: 0.2569 - val_categorical_accuracy: 0.9521 - 640ms/epoch - 5ms/step
Epoch 1217/1500
141/141 - 1s - loss: 0.0785 - categorical_accuracy: 0.9782 - val_loss: 0.2086 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1218/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2064 - val_categorical_accuracy: 0.9647 - 630ms/epoch - 4ms/step
Epoch 1219/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2135 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1220/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2215 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1221/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2182 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1222/1500
141/141 - 1s - loss: 0.0329 - categorical_accuracy: 0.9877 - val_loss: 0.2376 - val_categorical_accuracy: 0.9568 - 630ms/epoch - 4ms/step
Epoch 1223/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2276 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1224/1500
141/141 - 1s - loss: 0.3494 - categorical_accuracy: 0.9049 - val_loss: 0.2055 - val_categorical_accuracy: 0.9399 - 640ms/epoch - 5ms/step
Epoch 1225/1500
141/141 - 1s - loss: 0.0690 - categorical_accuracy: 0.9755 - val_loss: 0.1917 - val_categorical_accuracy: 0.9596 - 630ms/epoch - 4ms/step
Epoch 1226/1500
141/141 - 1s - loss: 0.0409 - categorical_accuracy: 0.9855 - val_loss: 0.2015 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1227/1500
141/141 - 1s - loss: 0.0352 - categorical_accuracy: 0.9872 - val_loss: 0.2182 - val_categorical_accuracy: 0.9580 - 630ms/epoch - 4ms/step
Epoch 1228/1500
141/141 - 1s - loss: 0.0339 - categorical_accuracy: 0.9877 - val_loss: 0.1934 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1229/1500
141/141 - 1s - loss: 0.0325 - categorical_accuracy: 0.9882 - val_loss: 0.2097 - val_categorical_accuracy: 0.9623 - 634ms/epoch - 4ms/step
Epoch 1230/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9883 - val_loss: 0.2019 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1231/1500
141/141 - 1s - loss: 0.0313 - categorical_accuracy: 0.9885 - val_loss: 0.2201 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1232/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2071 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1233/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2087 - val_categorical_accuracy: 0.9639 - 630ms/epoch - 4ms/step
Epoch 1234/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9890 - val_loss: 0.2140 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1235/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9882 - val_loss: 0.2171 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1236/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2225 - val_categorical_accuracy: 0.9593 - 630ms/epoch - 4ms/step
Epoch 1237/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9884 - val_loss: 0.2109 - val_categorical_accuracy: 0.9637 - 630ms/epoch - 4ms/step
Epoch 1238/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2176 - val_categorical_accuracy: 0.9599 - 650ms/epoch - 5ms/step
Epoch 1239/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2225 - val_categorical_accuracy: 0.9603 - 640ms/epoch - 5ms/step
Epoch 1240/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2159 - val_categorical_accuracy: 0.9626 - 630ms/epoch - 4ms/step
Epoch 1241/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9890 - val_loss: 0.2164 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1242/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2248 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1243/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9885 - val_loss: 0.2558 - val_categorical_accuracy: 0.9540 - 630ms/epoch - 4ms/step
Epoch 1244/1500
141/141 - 1s - loss: 0.0312 - categorical_accuracy: 0.9884 - val_loss: 0.2120 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1245/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9885 - val_loss: 0.2400 - val_categorical_accuracy: 0.9545 - 630ms/epoch - 4ms/step
Epoch 1246/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2267 - val_categorical_accuracy: 0.9612 - 630ms/epoch - 4ms/step
Epoch 1247/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2373 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 1248/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9887 - val_loss: 0.2228 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1249/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2286 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1250/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2212 - val_categorical_accuracy: 0.9614 - 630ms/epoch - 4ms/step
Epoch 1251/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9888 - val_loss: 0.2430 - val_categorical_accuracy: 0.9557 - 630ms/epoch - 4ms/step
Epoch 1252/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2521 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 1253/1500
141/141 - 1s - loss: 0.0317 - categorical_accuracy: 0.9884 - val_loss: 0.2344 - val_categorical_accuracy: 0.9587 - 630ms/epoch - 4ms/step
Epoch 1254/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9885 - val_loss: 0.2200 - val_categorical_accuracy: 0.9643 - 640ms/epoch - 5ms/step
Epoch 1255/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9888 - val_loss: 0.2218 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1256/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9875 - val_loss: 0.7730 - val_categorical_accuracy: 0.8973 - 630ms/epoch - 4ms/step
Epoch 1257/1500
141/141 - 1s - loss: 0.0944 - categorical_accuracy: 0.9749 - val_loss: 0.1973 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1258/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2063 - val_categorical_accuracy: 0.9631 - 630ms/epoch - 4ms/step
Epoch 1259/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2305 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1260/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2097 - val_categorical_accuracy: 0.9639 - 640ms/epoch - 5ms/step
Epoch 1261/1500
141/141 - 1s - loss: 0.0335 - categorical_accuracy: 0.9875 - val_loss: 0.2109 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1262/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9888 - val_loss: 0.2137 - val_categorical_accuracy: 0.9636 - 630ms/epoch - 4ms/step
Epoch 1263/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2191 - val_categorical_accuracy: 0.9637 - 630ms/epoch - 4ms/step
Epoch 1264/1500
141/141 - 1s - loss: 0.0906 - categorical_accuracy: 0.9752 - val_loss: 0.1989 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1265/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9887 - val_loss: 0.2188 - val_categorical_accuracy: 0.9586 - 630ms/epoch - 4ms/step
Epoch 1266/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9891 - val_loss: 0.2027 - val_categorical_accuracy: 0.9638 - 630ms/epoch - 4ms/step
Epoch 1267/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2223 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1268/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9891 - val_loss: 0.2157 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1269/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2212 - val_categorical_accuracy: 0.9627 - 660ms/epoch - 5ms/step
Epoch 1270/1500
141/141 - 1s - loss: 0.0523 - categorical_accuracy: 0.9844 - val_loss: 0.3943 - val_categorical_accuracy: 0.9183 - 650ms/epoch - 5ms/step
Epoch 1271/1500
141/141 - 1s - loss: 0.0428 - categorical_accuracy: 0.9851 - val_loss: 0.2064 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1272/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2265 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1273/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2135 - val_categorical_accuracy: 0.9611 - 630ms/epoch - 4ms/step
Epoch 1274/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2275 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 1275/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2091 - val_categorical_accuracy: 0.9646 - 630ms/epoch - 4ms/step
Epoch 1276/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9895 - val_loss: 0.2254 - val_categorical_accuracy: 0.9576 - 630ms/epoch - 4ms/step
Epoch 1277/1500
141/141 - 1s - loss: 0.0304 - categorical_accuracy: 0.9887 - val_loss: 0.2108 - val_categorical_accuracy: 0.9639 - 630ms/epoch - 4ms/step
Epoch 1278/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2268 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1279/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9891 - val_loss: 0.2184 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1280/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2327 - val_categorical_accuracy: 0.9589 - 630ms/epoch - 4ms/step
Epoch 1281/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2076 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1282/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9884 - val_loss: 0.2259 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1283/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2170 - val_categorical_accuracy: 0.9623 - 630ms/epoch - 4ms/step
Epoch 1284/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9888 - val_loss: 0.2422 - val_categorical_accuracy: 0.9564 - 630ms/epoch - 4ms/step
Epoch 1285/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9889 - val_loss: 0.2205 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1286/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2200 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1287/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2240 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1288/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2283 - val_categorical_accuracy: 0.9615 - 630ms/epoch - 4ms/step
Epoch 1289/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2433 - val_categorical_accuracy: 0.9567 - 630ms/epoch - 4ms/step
Epoch 1290/1500
141/141 - 1s - loss: 0.0627 - categorical_accuracy: 0.9813 - val_loss: 0.2044 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1291/1500
141/141 - 1s - loss: 0.0314 - categorical_accuracy: 0.9885 - val_loss: 0.2207 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1292/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2137 - val_categorical_accuracy: 0.9633 - 630ms/epoch - 4ms/step
Epoch 1293/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9889 - val_loss: 0.2246 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1294/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9890 - val_loss: 0.2231 - val_categorical_accuracy: 0.9607 - 630ms/epoch - 4ms/step
Epoch 1295/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2248 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1296/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2212 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1297/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2196 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1298/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2213 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1299/1500
141/141 - 1s - loss: 0.0303 - categorical_accuracy: 0.9889 - val_loss: 0.2205 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1300/1500
141/141 - 1s - loss: 0.0601 - categorical_accuracy: 0.9832 - val_loss: 0.2376 - val_categorical_accuracy: 0.9470 - 630ms/epoch - 4ms/step
Epoch 1301/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9849 - val_loss: 0.2123 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1302/1500
141/141 - 1s - loss: 0.0324 - categorical_accuracy: 0.9880 - val_loss: 0.2155 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1303/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2467 - val_categorical_accuracy: 0.9540 - 640ms/epoch - 5ms/step
Epoch 1304/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2175 - val_categorical_accuracy: 0.9629 - 630ms/epoch - 4ms/step
Epoch 1305/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9889 - val_loss: 0.2235 - val_categorical_accuracy: 0.9619 - 630ms/epoch - 4ms/step
Epoch 1306/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2122 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1307/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2322 - val_categorical_accuracy: 0.9570 - 630ms/epoch - 4ms/step
Epoch 1308/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9890 - val_loss: 0.2241 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1309/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2181 - val_categorical_accuracy: 0.9630 - 630ms/epoch - 4ms/step
Epoch 1310/1500
141/141 - 1s - loss: 0.0370 - categorical_accuracy: 0.9868 - val_loss: 0.2204 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1311/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2186 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1312/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9894 - val_loss: 0.2126 - val_categorical_accuracy: 0.9638 - 630ms/epoch - 4ms/step
Epoch 1313/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9893 - val_loss: 0.2296 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1314/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2298 - val_categorical_accuracy: 0.9597 - 630ms/epoch - 4ms/step
Epoch 1315/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9889 - val_loss: 0.2235 - val_categorical_accuracy: 0.9637 - 630ms/epoch - 4ms/step
Epoch 1316/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2312 - val_categorical_accuracy: 0.9610 - 630ms/epoch - 4ms/step
Epoch 1317/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2252 - val_categorical_accuracy: 0.9609 - 630ms/epoch - 4ms/step
Epoch 1318/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2268 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1319/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9887 - val_loss: 0.2583 - val_categorical_accuracy: 0.9569 - 630ms/epoch - 4ms/step
Epoch 1320/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2439 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1321/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9890 - val_loss: 0.2412 - val_categorical_accuracy: 0.9588 - 630ms/epoch - 4ms/step
Epoch 1322/1500
141/141 - 1s - loss: 0.0741 - categorical_accuracy: 0.9799 - val_loss: 0.2005 - val_categorical_accuracy: 0.9598 - 630ms/epoch - 4ms/step
Epoch 1323/1500
141/141 - 1s - loss: 0.0334 - categorical_accuracy: 0.9877 - val_loss: 0.2063 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1324/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9893 - val_loss: 0.2195 - val_categorical_accuracy: 0.9630 - 628ms/epoch - 4ms/step
Epoch 1325/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2157 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1326/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2175 - val_categorical_accuracy: 0.9646 - 630ms/epoch - 4ms/step
Epoch 1327/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2382 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1328/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9886 - val_loss: 0.2333 - val_categorical_accuracy: 0.9543 - 640ms/epoch - 5ms/step
Epoch 1329/1500
141/141 - 1s - loss: 0.0301 - categorical_accuracy: 0.9886 - val_loss: 0.2155 - val_categorical_accuracy: 0.9621 - 630ms/epoch - 4ms/step
Epoch 1330/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2305 - val_categorical_accuracy: 0.9606 - 630ms/epoch - 4ms/step
Epoch 1331/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2200 - val_categorical_accuracy: 0.9613 - 630ms/epoch - 4ms/step
Epoch 1332/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9889 - val_loss: 0.2346 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1333/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2243 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1334/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2365 - val_categorical_accuracy: 0.9625 - 630ms/epoch - 4ms/step
Epoch 1335/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2265 - val_categorical_accuracy: 0.9608 - 630ms/epoch - 4ms/step
Epoch 1336/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2255 - val_categorical_accuracy: 0.9627 - 630ms/epoch - 4ms/step
Epoch 1337/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2239 - val_categorical_accuracy: 0.9628 - 630ms/epoch - 4ms/step
Epoch 1338/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2371 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1339/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2373 - val_categorical_accuracy: 0.9618 - 630ms/epoch - 4ms/step
Epoch 1340/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2408 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1341/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9888 - val_loss: 0.2245 - val_categorical_accuracy: 0.9622 - 630ms/epoch - 4ms/step
Epoch 1342/1500
141/141 - 1s - loss: 0.1162 - categorical_accuracy: 0.9705 - val_loss: 0.1978 - val_categorical_accuracy: 0.9501 - 630ms/epoch - 4ms/step
Epoch 1343/1500
141/141 - 1s - loss: 0.0426 - categorical_accuracy: 0.9848 - val_loss: 0.2119 - val_categorical_accuracy: 0.9602 - 630ms/epoch - 4ms/step
Epoch 1344/1500
141/141 - 1s - loss: 0.0315 - categorical_accuracy: 0.9885 - val_loss: 0.2173 - val_categorical_accuracy: 0.9582 - 630ms/epoch - 4ms/step
Epoch 1345/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2093 - val_categorical_accuracy: 0.9640 - 630ms/epoch - 4ms/step
Epoch 1346/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2119 - val_categorical_accuracy: 0.9620 - 630ms/epoch - 4ms/step
Epoch 1347/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2212 - val_categorical_accuracy: 0.9629 - 830ms/epoch - 6ms/step
Epoch 1348/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9898 - val_loss: 0.2197 - val_categorical_accuracy: 0.9611 - 640ms/epoch - 5ms/step
Epoch 1349/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2119 - val_categorical_accuracy: 0.9644 - 640ms/epoch - 5ms/step
Epoch 1350/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2589 - val_categorical_accuracy: 0.9558 - 650ms/epoch - 5ms/step
Epoch 1351/1500
141/141 - 1s - loss: 0.1411 - categorical_accuracy: 0.9640 - val_loss: 0.1954 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1352/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9888 - val_loss: 0.2067 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1353/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2119 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1354/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2143 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1355/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2271 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1356/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2337 - val_categorical_accuracy: 0.9578 - 640ms/epoch - 5ms/step
Epoch 1357/1500
141/141 - 1s - loss: 0.0347 - categorical_accuracy: 0.9874 - val_loss: 0.2124 - val_categorical_accuracy: 0.9603 - 650ms/epoch - 5ms/step
Epoch 1358/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9895 - val_loss: 0.2147 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1359/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2181 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1360/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2249 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 1361/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2090 - val_categorical_accuracy: 0.9641 - 640ms/epoch - 5ms/step
Epoch 1362/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.2180 - val_categorical_accuracy: 0.9624 - 670ms/epoch - 5ms/step
Epoch 1363/1500
141/141 - 1s - loss: 0.0331 - categorical_accuracy: 0.9878 - val_loss: 0.2280 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1364/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9889 - val_loss: 0.2264 - val_categorical_accuracy: 0.9606 - 660ms/epoch - 5ms/step
Epoch 1365/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9892 - val_loss: 0.2318 - val_categorical_accuracy: 0.9614 - 660ms/epoch - 5ms/step
Epoch 1366/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9893 - val_loss: 0.2341 - val_categorical_accuracy: 0.9608 - 650ms/epoch - 5ms/step
Epoch 1367/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2291 - val_categorical_accuracy: 0.9617 - 650ms/epoch - 5ms/step
Epoch 1368/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2221 - val_categorical_accuracy: 0.9628 - 640ms/epoch - 5ms/step
Epoch 1369/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2247 - val_categorical_accuracy: 0.9631 - 650ms/epoch - 5ms/step
Epoch 1370/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2376 - val_categorical_accuracy: 0.9586 - 640ms/epoch - 5ms/step
Epoch 1371/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9892 - val_loss: 0.2242 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1372/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9887 - val_loss: 0.2400 - val_categorical_accuracy: 0.9609 - 650ms/epoch - 5ms/step
Epoch 1373/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2411 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1374/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9887 - val_loss: 0.2293 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1375/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9894 - val_loss: 0.2237 - val_categorical_accuracy: 0.9635 - 640ms/epoch - 5ms/step
Epoch 1376/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9895 - val_loss: 0.2276 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1377/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2230 - val_categorical_accuracy: 0.9618 - 650ms/epoch - 5ms/step
Epoch 1378/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9887 - val_loss: 0.2448 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1379/1500
141/141 - 1s - loss: 0.0358 - categorical_accuracy: 0.9871 - val_loss: 0.2274 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1380/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2235 - val_categorical_accuracy: 0.9623 - 640ms/epoch - 5ms/step
Epoch 1381/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2456 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 1382/1500
141/141 - 1s - loss: 0.0323 - categorical_accuracy: 0.9883 - val_loss: 0.2303 - val_categorical_accuracy: 0.9598 - 640ms/epoch - 5ms/step
Epoch 1383/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2298 - val_categorical_accuracy: 0.9621 - 640ms/epoch - 5ms/step
Epoch 1384/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9890 - val_loss: 0.2291 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1385/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2500 - val_categorical_accuracy: 0.9574 - 640ms/epoch - 5ms/step
Epoch 1386/1500
141/141 - 1s - loss: 0.0307 - categorical_accuracy: 0.9886 - val_loss: 0.2395 - val_categorical_accuracy: 0.9579 - 650ms/epoch - 5ms/step
Epoch 1387/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9890 - val_loss: 0.2324 - val_categorical_accuracy: 0.9608 - 640ms/epoch - 5ms/step
Epoch 1388/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9884 - val_loss: 0.2504 - val_categorical_accuracy: 0.9558 - 640ms/epoch - 5ms/step
Epoch 1389/1500
141/141 - 1s - loss: 0.0345 - categorical_accuracy: 0.9876 - val_loss: 0.2287 - val_categorical_accuracy: 0.9594 - 640ms/epoch - 5ms/step
Epoch 1390/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9890 - val_loss: 0.2220 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1391/1500
141/141 - 1s - loss: 0.0273 - categorical_accuracy: 0.9898 - val_loss: 0.2237 - val_categorical_accuracy: 0.9633 - 660ms/epoch - 5ms/step
Epoch 1392/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2401 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1393/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2274 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1394/1500
141/141 - 1s - loss: 0.0306 - categorical_accuracy: 0.9887 - val_loss: 0.2361 - val_categorical_accuracy: 0.9605 - 640ms/epoch - 5ms/step
Epoch 1395/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2344 - val_categorical_accuracy: 0.9610 - 640ms/epoch - 5ms/step
Epoch 1396/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2289 - val_categorical_accuracy: 0.9620 - 650ms/epoch - 5ms/step
Epoch 1397/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2305 - val_categorical_accuracy: 0.9634 - 640ms/epoch - 5ms/step
Epoch 1398/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2352 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1399/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2306 - val_categorical_accuracy: 0.9638 - 640ms/epoch - 5ms/step
Epoch 1400/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2448 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1401/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2370 - val_categorical_accuracy: 0.9631 - 650ms/epoch - 5ms/step
Epoch 1402/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9887 - val_loss: 0.2532 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 1403/1500
141/141 - 1s - loss: 0.0322 - categorical_accuracy: 0.9881 - val_loss: 0.2539 - val_categorical_accuracy: 0.9581 - 640ms/epoch - 5ms/step
Epoch 1404/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9892 - val_loss: 0.2384 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1405/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2540 - val_categorical_accuracy: 0.9599 - 640ms/epoch - 5ms/step
Epoch 1406/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2310 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1407/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2389 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1408/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9892 - val_loss: 0.2398 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 1409/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2325 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1410/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2503 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1411/1500
141/141 - 1s - loss: 0.0292 - categorical_accuracy: 0.9891 - val_loss: 0.2305 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1412/1500
141/141 - 1s - loss: 0.0674 - categorical_accuracy: 0.9812 - val_loss: 0.2279 - val_categorical_accuracy: 0.9570 - 650ms/epoch - 5ms/step
Epoch 1413/1500
141/141 - 1s - loss: 0.0319 - categorical_accuracy: 0.9880 - val_loss: 0.2332 - val_categorical_accuracy: 0.9600 - 640ms/epoch - 5ms/step
Epoch 1414/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2416 - val_categorical_accuracy: 0.9557 - 640ms/epoch - 5ms/step
Epoch 1415/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9893 - val_loss: 0.3163 - val_categorical_accuracy: 0.9451 - 640ms/epoch - 5ms/step
Epoch 1416/1500
141/141 - 1s - loss: 0.0316 - categorical_accuracy: 0.9883 - val_loss: 0.2300 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1417/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2251 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1418/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9897 - val_loss: 0.2310 - val_categorical_accuracy: 0.9636 - 641ms/epoch - 5ms/step
Epoch 1419/1500
141/141 - 1s - loss: 0.0282 - categorical_accuracy: 0.9895 - val_loss: 0.2340 - val_categorical_accuracy: 0.9629 - 640ms/epoch - 5ms/step
Epoch 1420/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2289 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1421/1500
141/141 - 1s - loss: 0.0298 - categorical_accuracy: 0.9891 - val_loss: 0.2458 - val_categorical_accuracy: 0.9571 - 640ms/epoch - 5ms/step
Epoch 1422/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9891 - val_loss: 0.2357 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1423/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9886 - val_loss: 0.2284 - val_categorical_accuracy: 0.9637 - 640ms/epoch - 5ms/step
Epoch 1424/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9894 - val_loss: 0.2421 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1425/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9898 - val_loss: 0.2371 - val_categorical_accuracy: 0.9611 - 650ms/epoch - 5ms/step
Epoch 1426/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2301 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 1427/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9892 - val_loss: 0.2390 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1428/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2380 - val_categorical_accuracy: 0.9604 - 640ms/epoch - 5ms/step
Epoch 1429/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2460 - val_categorical_accuracy: 0.9603 - 650ms/epoch - 5ms/step
Epoch 1430/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2427 - val_categorical_accuracy: 0.9618 - 650ms/epoch - 5ms/step
Epoch 1431/1500
141/141 - 1s - loss: 0.0305 - categorical_accuracy: 0.9886 - val_loss: 0.2407 - val_categorical_accuracy: 0.9627 - 640ms/epoch - 5ms/step
Epoch 1432/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9893 - val_loss: 0.2356 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1433/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2405 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1434/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2443 - val_categorical_accuracy: 0.9594 - 650ms/epoch - 5ms/step
Epoch 1435/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9889 - val_loss: 0.2472 - val_categorical_accuracy: 0.9570 - 640ms/epoch - 5ms/step
Epoch 1436/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2342 - val_categorical_accuracy: 0.9646 - 640ms/epoch - 5ms/step
Epoch 1437/1500
141/141 - 1s - loss: 0.0311 - categorical_accuracy: 0.9885 - val_loss: 0.2256 - val_categorical_accuracy: 0.9636 - 640ms/epoch - 5ms/step
Epoch 1438/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9889 - val_loss: 0.2446 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1439/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9895 - val_loss: 0.2406 - val_categorical_accuracy: 0.9615 - 640ms/epoch - 5ms/step
Epoch 1440/1500
141/141 - 1s - loss: 0.0275 - categorical_accuracy: 0.9897 - val_loss: 0.2377 - val_categorical_accuracy: 0.9619 - 640ms/epoch - 5ms/step
Epoch 1441/1500
141/141 - 1s - loss: 0.0295 - categorical_accuracy: 0.9890 - val_loss: 0.2432 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1442/1500
141/141 - 1s - loss: 0.0294 - categorical_accuracy: 0.9889 - val_loss: 0.2392 - val_categorical_accuracy: 0.9625 - 640ms/epoch - 5ms/step
Epoch 1443/1500
141/141 - 1s - loss: 0.0293 - categorical_accuracy: 0.9891 - val_loss: 0.2437 - val_categorical_accuracy: 0.9614 - 640ms/epoch - 5ms/step
Epoch 1444/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9893 - val_loss: 0.2349 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1445/1500
141/141 - 1s - loss: 0.0321 - categorical_accuracy: 0.9883 - val_loss: 0.2457 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 1446/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9895 - val_loss: 0.2429 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1447/1500
141/141 - 1s - loss: 0.0296 - categorical_accuracy: 0.9890 - val_loss: 0.2440 - val_categorical_accuracy: 0.9616 - 640ms/epoch - 5ms/step
Epoch 1448/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9895 - val_loss: 0.2470 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1449/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9892 - val_loss: 0.2420 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1450/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9894 - val_loss: 0.2369 - val_categorical_accuracy: 0.9633 - 640ms/epoch - 5ms/step
Epoch 1451/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2503 - val_categorical_accuracy: 0.9593 - 640ms/epoch - 5ms/step
Epoch 1452/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2494 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1453/1500
141/141 - 1s - loss: 0.0288 - categorical_accuracy: 0.9891 - val_loss: 0.2743 - val_categorical_accuracy: 0.9533 - 640ms/epoch - 5ms/step
Epoch 1454/1500
141/141 - 1s - loss: 0.0302 - categorical_accuracy: 0.9888 - val_loss: 0.2485 - val_categorical_accuracy: 0.9587 - 640ms/epoch - 5ms/step
Epoch 1455/1500
141/141 - 1s - loss: 0.0285 - categorical_accuracy: 0.9893 - val_loss: 0.2475 - val_categorical_accuracy: 0.9618 - 640ms/epoch - 5ms/step
Epoch 1456/1500
141/141 - 1s - loss: 0.0300 - categorical_accuracy: 0.9888 - val_loss: 0.2489 - val_categorical_accuracy: 0.9577 - 640ms/epoch - 5ms/step
Epoch 1457/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2448 - val_categorical_accuracy: 0.9620 - 660ms/epoch - 5ms/step
Epoch 1458/1500
141/141 - 1s - loss: 0.0287 - categorical_accuracy: 0.9894 - val_loss: 0.2369 - val_categorical_accuracy: 0.9620 - 660ms/epoch - 5ms/step
Epoch 1459/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2431 - val_categorical_accuracy: 0.9614 - 660ms/epoch - 5ms/step
Epoch 1460/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9893 - val_loss: 0.2482 - val_categorical_accuracy: 0.9602 - 640ms/epoch - 5ms/step
Epoch 1461/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9894 - val_loss: 0.2484 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1462/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2548 - val_categorical_accuracy: 0.9609 - 640ms/epoch - 5ms/step
Epoch 1463/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2478 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1464/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9891 - val_loss: 0.2548 - val_categorical_accuracy: 0.9590 - 640ms/epoch - 5ms/step
Epoch 1465/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9891 - val_loss: 0.2571 - val_categorical_accuracy: 0.9583 - 640ms/epoch - 5ms/step
Epoch 1466/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2537 - val_categorical_accuracy: 0.9606 - 640ms/epoch - 5ms/step
Epoch 1467/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9896 - val_loss: 0.2620 - val_categorical_accuracy: 0.9596 - 640ms/epoch - 5ms/step
Epoch 1468/1500
141/141 - 1s - loss: 0.0278 - categorical_accuracy: 0.9896 - val_loss: 0.2372 - val_categorical_accuracy: 0.9624 - 640ms/epoch - 5ms/step
Epoch 1469/1500
141/141 - 1s - loss: 0.2567 - categorical_accuracy: 0.9335 - val_loss: 0.2335 - val_categorical_accuracy: 0.9322 - 640ms/epoch - 5ms/step
Epoch 1470/1500
141/141 - 1s - loss: 0.0621 - categorical_accuracy: 0.9782 - val_loss: 0.2336 - val_categorical_accuracy: 0.9486 - 640ms/epoch - 5ms/step
Epoch 1471/1500
141/141 - 1s - loss: 0.0372 - categorical_accuracy: 0.9866 - val_loss: 0.2093 - val_categorical_accuracy: 0.9612 - 640ms/epoch - 5ms/step
Epoch 1472/1500
141/141 - 1s - loss: 0.0320 - categorical_accuracy: 0.9882 - val_loss: 0.2164 - val_categorical_accuracy: 0.9613 - 640ms/epoch - 5ms/step
Epoch 1473/1500
141/141 - 1s - loss: 0.0299 - categorical_accuracy: 0.9890 - val_loss: 0.2138 - val_categorical_accuracy: 0.9638 - 640ms/epoch - 5ms/step
Epoch 1474/1500
141/141 - 1s - loss: 0.0283 - categorical_accuracy: 0.9896 - val_loss: 0.2388 - val_categorical_accuracy: 0.9565 - 640ms/epoch - 5ms/step
Epoch 1475/1500
141/141 - 1s - loss: 0.0297 - categorical_accuracy: 0.9890 - val_loss: 0.2193 - val_categorical_accuracy: 0.9617 - 640ms/epoch - 5ms/step
Epoch 1476/1500
141/141 - 1s - loss: 0.0291 - categorical_accuracy: 0.9892 - val_loss: 0.2236 - val_categorical_accuracy: 0.9624 - 630ms/epoch - 4ms/step
Epoch 1477/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9897 - val_loss: 0.2313 - val_categorical_accuracy: 0.9620 - 640ms/epoch - 5ms/step
Epoch 1478/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9896 - val_loss: 0.2283 - val_categorical_accuracy: 0.9629 - 650ms/epoch - 5ms/step
Epoch 1479/1500
141/141 - 1s - loss: 0.0286 - categorical_accuracy: 0.9894 - val_loss: 0.2229 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1480/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2377 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1481/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2219 - val_categorical_accuracy: 0.9645 - 640ms/epoch - 5ms/step
Epoch 1482/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2295 - val_categorical_accuracy: 0.9630 - 640ms/epoch - 5ms/step
Epoch 1483/1500
141/141 - 1s - loss: 0.0276 - categorical_accuracy: 0.9896 - val_loss: 0.2267 - val_categorical_accuracy: 0.9635 - 630ms/epoch - 4ms/step
Epoch 1484/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9892 - val_loss: 0.2345 - val_categorical_accuracy: 0.9626 - 640ms/epoch - 5ms/step
Epoch 1485/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9897 - val_loss: 0.2420 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step
Epoch 1486/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2276 - val_categorical_accuracy: 0.9622 - 640ms/epoch - 5ms/step
Epoch 1487/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9892 - val_loss: 0.2572 - val_categorical_accuracy: 0.9562 - 640ms/epoch - 5ms/step
Epoch 1488/1500
141/141 - 1s - loss: 0.0310 - categorical_accuracy: 0.9885 - val_loss: 0.2516 - val_categorical_accuracy: 0.9601 - 640ms/epoch - 5ms/step
Epoch 1489/1500
141/141 - 1s - loss: 0.0280 - categorical_accuracy: 0.9896 - val_loss: 0.2276 - val_categorical_accuracy: 0.9640 - 640ms/epoch - 5ms/step
Epoch 1490/1500
141/141 - 1s - loss: 0.0272 - categorical_accuracy: 0.9898 - val_loss: 0.2336 - val_categorical_accuracy: 0.9640 - 630ms/epoch - 4ms/step
Epoch 1491/1500
141/141 - 1s - loss: 0.0279 - categorical_accuracy: 0.9896 - val_loss: 0.2475 - val_categorical_accuracy: 0.9594 - 630ms/epoch - 4ms/step
Epoch 1492/1500
141/141 - 1s - loss: 0.0308 - categorical_accuracy: 0.9886 - val_loss: 0.2458 - val_categorical_accuracy: 0.9595 - 630ms/epoch - 4ms/step
Epoch 1493/1500
141/141 - 1s - loss: 0.0281 - categorical_accuracy: 0.9894 - val_loss: 0.2541 - val_categorical_accuracy: 0.9589 - 640ms/epoch - 5ms/step
Epoch 1494/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9890 - val_loss: 0.2508 - val_categorical_accuracy: 0.9596 - 650ms/epoch - 5ms/step
Epoch 1495/1500
141/141 - 1s - loss: 0.0289 - categorical_accuracy: 0.9890 - val_loss: 0.2436 - val_categorical_accuracy: 0.9604 - 630ms/epoch - 4ms/step
Epoch 1496/1500
141/141 - 1s - loss: 0.0290 - categorical_accuracy: 0.9891 - val_loss: 0.2647 - val_categorical_accuracy: 0.9603 - 630ms/epoch - 4ms/step
Epoch 1497/1500
141/141 - 1s - loss: 0.0309 - categorical_accuracy: 0.9885 - val_loss: 0.2431 - val_categorical_accuracy: 0.9607 - 640ms/epoch - 5ms/step
Epoch 1498/1500
141/141 - 1s - loss: 0.0284 - categorical_accuracy: 0.9893 - val_loss: 0.2329 - val_categorical_accuracy: 0.9632 - 640ms/epoch - 5ms/step
Epoch 1499/1500
141/141 - 1s - loss: 0.0271 - categorical_accuracy: 0.9899 - val_loss: 0.2342 - val_categorical_accuracy: 0.9617 - 630ms/epoch - 4ms/step
Epoch 1500/1500
141/141 - 1s - loss: 0.0267 - categorical_accuracy: 0.9900 - val_loss: 0.2479 - val_categorical_accuracy: 0.9595 - 640ms/epoch - 5ms/step

#reticulate::py_last_error()

#We can then compute the average of the per-epoch ACC scores for all folds:

average_acc_history <- data.frame(
  epoch = seq(1:ncol(all_acc_histories)),
  validation_acc = apply(all_acc_histories, 2, mean)
)


head(max(average_acc_history$validation_acc))

[1] 0.961743

library(ggplot2)
ggplot(average_acc_history, aes(x = epoch, y = validation_acc)) + geom_line()

#It may be a bit hard to see the plot due to scaling issues and relatively high variance. Let's use `geom_smooth()` to try to get a clearer picture:
ggplot(average_acc_history, aes(x = epoch, y = validation_acc)) + geom_smooth()

# Evaluate on Testset
eval <- evaluate(model, test_data, test_targets, verbose = 1)

  1/423 [..............................] - ETA: 6s - loss: 3.6828 - categorical_accuracy: 0.7500
 26/423 [>.............................] - ETA: 0s - loss: 4.2449 - categorical_accuracy: 0.6959
 53/423 [==>...........................] - ETA: 0s - loss: 4.1926 - categorical_accuracy: 0.7111
 79/423 [====>.........................] - ETA: 0s - loss: 4.1185 - categorical_accuracy: 0.7144
104/423 [======>.......................] - ETA: 0s - loss: 4.0753 - categorical_accuracy: 0.7115
130/423 [========>.....................] - ETA: 0s - loss: 4.2273 - categorical_accuracy: 0.7082
155/423 [=========>....................] - ETA: 0s - loss: 4.2880 - categorical_accuracy: 0.7089
181/423 [===========>..................] - ETA: 0s - loss: 4.2021 - categorical_accuracy: 0.7113
207/423 [=============>................] - ETA: 0s - loss: 4.2978 - categorical_accuracy: 0.7089
232/423 [===============>..............] - ETA: 0s - loss: 4.3740 - categorical_accuracy: 0.7039
258/423 [=================>............] - ETA: 0s - loss: 4.3445 - categorical_accuracy: 0.7052
284/423 [===================>..........] - ETA: 0s - loss: 4.3158 - categorical_accuracy: 0.7084
309/423 [====================>.........] - ETA: 0s - loss: 4.3580 - categorical_accuracy: 0.7074
335/423 [======================>.......] - ETA: 0s - loss: 4.3799 - categorical_accuracy: 0.7071
362/423 [========================>.....] - ETA: 0s - loss: 4.3899 - categorical_accuracy: 0.7060
388/423 [==========================>...] - ETA: 0s - loss: 4.3434 - categorical_accuracy: 0.7070
414/423 [============================>.] - ETA: 0s - loss: 4.3210 - categorical_accuracy: 0.7071
423/423 [==============================] - 1s 2ms/step - loss: 4.3490 - categorical_accuracy: 0.7065

423/423 [==============================] - 1s 2ms/step - loss: 4.3490 - categorical_accuracy: 0.7065

head(eval)

                loss categorical_accuracy 
           4.3490081            0.7065001 

# Save model and history, please change the name
# write.csv(average_acc_history, "../Doc/Versuch 8 - 7 Layer- 2 128 - Smote/Try 8.csv", row.names=FALSE)
# save_model_hdf5(model, "../Doc/Versuch 8 - 7 Layer- 2 128 - Smote/model 8.hfd5", overwrite = TRUE, include_optimizer = TRUE)

# Load model
# Use model_history as precaution
# model_history <- load_model_hdf5("../Doc/Versuch 6/model 6.hfd5", custom_objects = NULL, compile = TRUE)